Анализ сайта andreatacchetti.com, хорошо оптимизирован на 48%

Домен

andreatacchetti.com

Состояние доменного имени ?

Длина домена велика. Но если вы продвигаете запрос, входящий в название домена, то это хорошо.

Домен второго уровня идеален для продвижения.

Исправить

Ответ сервера

200 Успешный ответ

HTTP-код ответа и цепочка редиректов ?

Кол-во редиректов 3 слишком большое! Проверьте настройки сайта и веб-сервера!

Цепочка редиректов:

http://andreatacchetti.com 302 Found

http://www.andreatacchetti.com/ 301 MovedPermanently

https://www.andreatacchetti.com/ 200 OK

Исправить

Безопасность

Сайт безопасен

Использование HTTPS и SSL-сертификат ?

На сайте работает защищенный протокол ssl и сайт открывается по https.

Ssl-сертификат действителен до 18.11.2026 5:30:19.

HTTP автоматически перенаправляется на HTTPS.

Поздравляем! Сайт не содержится в реестре РКН.

Кодировка

utf-8

Кодировка символов страницы ?

Указана кодировка на странице utf-8.

Язык

en-US

Атрибут lang в HTML-теге ?

Язык документа указан явно: en-US.

Скорость загрузки

~0,86сек

Время отклика сервера (TTFB) ?

Скорость загрузки сайта 0,86сек оптимальна.

Объем документа

151Кб

Размер HTML-кода страницы ?

Объем html-документа 151Кб оптимален.

Структура html-документа корректна.

Ресурсы

Ресурсы: 6

Внешние ресурсы страницы (CSS, JS, изображения) ?

Кол-во файлов ресурсов 6 достаточно.

Показать полный список ресурсов

Тип	Название	Значение
stylesheet		https://fonts.googleapis.com/css?family=Lato%3A300%2C300italic%2C400%2C400italic%2C700%2C700italic&display=swap
stylesheet		https://fonts.googleapis.com/css?family=Google+Sans:400,500\|Roboto:300,400,500,700\|Source+Code+Pro:400,700&display=swap
stylesheet		https://www.gstatic.com/_/atari/_/ss/k=atari.vw._eXkLR-OjqU.L.W.O/am=IAACHAAE/d=1/rs=AGEqA5nsf_KuRrevR_wvYvwFs5yssp01EA
js		https://apis.google.com/js/client.js?onload=gapiLoaded
js		https://www.googletagmanager.com/gtag/js?id=UA-58523404-3
js		https://www.gstatic.com/_/atari/_/js/k=atari.vw.en_US.lM9D4hCvW98.O/am=IAACHAAE/d=1/rs=AGEqA5mvX-DVdqeLqmgX9kg-nVf7XAe6wg/m=view

Серверные заголовки

Кол-во: 15

HTTP-заголовки ответа сервера ?

Найдены серверные заголовки 15шт. Подробнее про серверные заголовки.

Показать полный список серверных заголовков

Ключ	Значение
X-Frame-Options	DENY
Cache-Control	no-store, must-revalidate, no-cache, max-age=0
Pragma	no-cache
Date	Mon, 24 Aug 2026 02:54:22 GMT
Cross-Origin-Resource-Policy	same-site
Content-Security-Policy	base-uri 'self';object-src 'none';report-uri /_/view/cspreport;script-src 'report-sample' 'nonce--l4tNR0bsV61kOy5rAyFEg' 'unsafe-inline' 'unsafe-eval';worker-src 'self';frame-ancestors https://google-admin.corp.google.com/
cross-origin-opener-policy	unsafe-none
reporting-endpoints	default="/web-reports?jobset=prod&wcrumsspbp=true&bl=editors.sites-viewer-frontend_20260817.02_p0&app=25&clss=1&context=eJwN0HlYzYkaB_Dj9Pu9b-q0n5zTdjr9DqdUkq2oTFEcw71ZGrcmz7WHlKSFRtfgGus1dvIMM7k5c0XJUsh-LddeWRoZIpQiWlU6ku73j8_zfN_vf9_Xok2ZbR4tO2oZLZukjJZ9B3bbomUeIOREy5SQ3jdGthaCfCpkX4F8K2QaCH3dKjdA0-p2-Sf4IeGTfDXcDumUP4COuE75Vzi0qVN-DGbfMckXglPsV7kHJMl65Euh07VHLnPrkbdl9Mi_QOhqMzMDTHljZhYLGU1BwiqQ7w0RLOBsfohwBcYNHylMggLXUcJpaBk_SjDBs8zRQjXsTg4XfoU5S8OFBJAfDxcsYMTpcGEUDF84RgiDfkvGCAPgp9oxwmaIGTZWmAm7thgEI9R9MghNkJMwTjgC1fbfCu-hkscLNbAsKltcCU_OZIsv4UzQAfEyPPh4QPwTZlUeFONhRdNBcS0cSTSKJ-FOtVF8CCWR_xH_ACf3XNEDvL7PFf1Bys8Vp9QfEWMhE9bA4cg88QSkzCkQl4PNsnpRBTGhH8SZMO3qB3EO_BHTID4Hm30Nogq6DinILFdBx22sqBj0xVbkBxXXrakK_pptQ1Mh760dFcKCejtKhnMF9nQVHIrsyQV6SQ7UGwoDHeg8hA13oHFQOAs3DH6upCBwjHQkN9ix3JF-gZU5fWg9eFb2oYFgkagie_icpCKLxSraqFXTdig6qqYLUJ7jRJWwbJMzrYSabS70AaaNd6WZ0P-6Kw2CqjwN3XqqoRJ4V6mhRpjaoqFYeApVcGGaO52d506XoP5Hd2oCuaAlhgmspSjYPENLu-B9vJYai7XUARN2e1AUZB70oDVQ8MqDTkOYr0TjIHGgRGkQYJAoGLrWSmS2TqLzGyS6BgkHJEqFiyUSXQVFqUR28Am-wNgyiSZALhwFu_sS9YGfv0q0G7pDdCSO1FF7mo66ofkHZEhZrqNlkJWpo_2w-h86Wgex5TqaDdM6dTQHjH31lA_jo_U0BTTtnqSDUsGLHkM-eVERtFp50WewsfMiJZyFSyD5epE33MzxojJ4XOtFL-ChLJju5gXTI5h7IpjiwexkMJnDXbgPewqDKS8yhAohec9IyoCsjd9QNkzoHUpRoLseRj7w7v4oaoHV9aNoI7QkhpMJ5qaGUyL4rgmnofA_xwgqAcdJEeQGLxojqBbmrxpLi0FnHEs-0JBmwM8MJOUbyBsc_jSQC6x6aaANsNNvHO2Da1Xj6C64bHtNWnjXWE0tYD-5hpzhJpSBhamG7KEht5baYWFeLaXAvdA6egCLJtZROhwvqaNiWGR8S-nwwVRPbSDZvydvOHzmA52APXEN9Bs0VDRQOzSENFI76M80kv2GJuoubCKxqImWjGwmaXozecP385ppFuSvaaasymZqeNlM_kNbKG93C1nvbaFdIa20H6r-0kr3FraSQ0ErqWGq8iNdnvwRWz5S7YyPFDn7I0Uvb6PnmW2UfqKNVsCUa22UAWPet9G3ULa9nSqg9HM7PYJ3TzqoEf49_RP5zP9ENxSd5OLWSWFSJ3FXJ9lApdpENRAUYaLRcOeYib45bqIwUDwxkRICnppoBDyb1kWBD7so9OQXMsDsV1_o-axuegOL9ndTCqw_1E1bIfZUN82GSz3ddAM2yb_SDrim6qG7cFzTQ84be0gfIWM_aGmTsQlWmmS8HnZF9-IscJrei3_O6cW74eaNXux-qxe_KpJzZKOcO5VmvFdlxgcg0cmM06DwlBl7WAncIAk8a67A8TDjnwIHlgkcAflQ_0Bgc1eREwJE1v5d5Odq4spW4hr4PcOcD8OuH805eJ05BxaZ87LA3vzic2-uhqQRFrwUdr614JZ-lhypt-SE_pZ8YYwle35nyZtqLLnMU8EVsGGogudPULBzooJ7jApO_l3B6eB6UcHFjxT8X3h11YqLH1rxuQorVrywYivwhRYnax6ot-YrcBuM_a05H3Qjrbm8zporoXCODafvseHPjrZcPNGWj8TY8sV0W_bNtWU_6HfMjgfAwrX2XHTZnu9mOnDPTQe-v0TJkw4oufiYkhVPlbz1jZIP1ilZ4-HI24c5smuAI2tACxL0BT14gTf4gj9EGRz5dJYjG3v34fwrfdjbV8WDIXmIijPAFKPiL5KaBZ2aB51X87pLat4CDVVqru5Q81uwMalZBXO61XxE68SbhzjxgkVOvCXDiffA7hBnDp3kzGEwGjYfcuYV3c6cA0e9XfgYnIBCOAVn4JKvC3fsc-EFd1w4GS6UuvCvPS7s08eN_XPc-MJpDZed1XA5HD6n4djLGp4NPl80XGrhzo_heaA7X3rmzjdgQZCW7yVpuRwWlWk5C1T3tXyDPbgUXAwerIWJqzx420iJHX-S2A3UeyQe4q3jjlQdf4Xla3X8zV4d2_2i45lGHd98p-NU-75c5tqXG8r7sjGyH8su9-Nzkp6vQpq3npeCzTA9ZwboWVuj5yw_T86GjgRP7inxZC715KePPPk1dNR48aMh_flWZX_e-a4_74Ullt68aq83x-t92D3ehyev8eEzRh9eMd6XX3b58g7VADaeG8CirR9fnTCQo3IHckHQIF4fM4g3wr9gM2yF7WCvMH9RU1BOtrd-67wtdxb-Fh-3TPKNmxuftjgl1S81Pi0udcBSdHEpA-alLE5Ki0uaO2Ow_-AA_-GDAv38B89I9v8_ByS4Eg&build-label=editors.sites-viewer-frontend_20260817.02_p0&imp-sid=COia1dOhuJYDFSDDzgAd1I8K_Q&is-cached-offline=false"
document-policy	include-js-call-stacks-in-crash-reports
Referrer-Policy	strict-origin-when-cross-origin
Server	ESF
X-XSS-Protection	0
X-Content-Type-Options	nosniff
Accept-Ranges	none
Vary	Sec-Fetch-Dest

CMS

Не определена

Система управления сайтом (движок) ?

CMS не определена. Вероятно, сайт самописный либо движок надёжно скрыт. Это не ошибка.

Веб-сервер

Google Frontend

Программное обеспечение сервера ?

Сайт работает на веб-сервере Google Frontend.

Title

Andrea Tacchetti

Заголовок страницы в браузере и поисковой выдаче ?

Необходимо увеличить число символов в title (текущее значение мало: 16, минимум: 25, оптимально: от 40 до 45)

Дублей словоформ в title не найдено.

Исправить

Description

Описание страницы в поисковой выдаче (сниппет) ?

Установите мета-тег description!

Исправить

Keywords

Список ключевых слов страницы (устаревший тег) ?

Установите мета-тег keywords!

Исправить

Канонический Url

Указывает поисковику основную версию страницы ?

Robots

Ошибок нет

Директивы для поисковых роботов на уровне страницы ?

Meta-тег robots не указан. Страница свободна для индексации.

Адаптивность

width=device-width, initial-scale=1

Настройка масштабирования на мобильных устройствах ?

Meta-тег viewport со значением-константой width=device-width задаёт ширину страницы в соответствии с размером экрана.

Meta-тег viewport со значением initial-scale=1.0 определяет масштаб 1:1, т.е. «не масштабировать».

Разметка OpenGraph

Кол-во: 5

Мета-теги для красивых превью в соцсетях ?

Разметка OpenGraph задана. Страница оптимизирована под социальные сети.

Показать полный список og мета-тегов

Тип	Значение
og:title	Andrea Tacchetti
og:type	website
og:url	https://www.andreatacchetti.com/
og:description	About I am a Priincipal Research Scientist (Director) at Google DeepMind. I lead the Gemini and GenMedia Safety team. I obtained my PhD from MIT where I was part of the Computer Science and Artificial Intelligence Laboratory. My thesis advisor was Tomaso Poggio. Before Graduate School I was part
og:image	https://lh3.googleusercontent.com/sitesv/AG8ngQVztbbdez6jNX_j_BTAIExG0NFYcS3kEk41yBNml_SrEdaQiFO4JfoFr4dVD4FiaLnZbjRNEYyTjxivtGyPNoR0IR7dP7W1jKYFvjxND9QZCaDEcAnkQx_oexzwVgWmg8cukFeMjSdv3XRwWzHUz6qscfcAa1SeM1LUaGFakIiY4LDXN_rugND4L0BM32AN8Q0Bo2Qn_jQxaT9q=w1280

Все мета-теги

Кол-во: 7

Полный список мета-тегов страницы ?

Найдены мета-теги 7шт. Мета-теги не видимы для человека и предназначены для обмена информацией между веб-страницей и поисковыми системами, браузерами и другими веб-службами. С ними роботы 🤖 и устройства ведут себя более ожидаемо.

Показать полный список мета-тегов

Тип	Название	Значение
name	viewport	width=device-width, initial-scale=1
name	referrer	strict-origin-when-cross-origin
property	og:title	Andrea Tacchetti
property	og:type	website
property	og:url	https://www.andreatacchetti.com/
property	og:description	About I am a Priincipal Research Scientist (Director) at Google DeepMind. I lead the Gemini and GenMedia Safety team. I obtained my PhD from MIT where I was part of the Computer Science and Artificial Intelligence Laboratory. My thesis advisor was Tomaso Poggio. Before Graduate School I was part
property	og:image	https://lh3.googleusercontent.com/sitesv/AG8ngQVztbbdez6jNX_j_BTAIExG0NFYcS3kEk41yBNml_SrEdaQiFO4JfoFr4dVD4FiaLnZbjRNEYyTjxivtGyPNoR0IR7dP7W1jKYFvjxND9QZCaDEcAnkQx_oexzwVgWmg8cukFeMjSdv3XRwWzHUz6qscfcAa1SeM1LUaGFakIiY4LDXN_rugND4L0BM32AN8Q0Bo2Qn_jQxaT9q=w1280

Структура

Ошибок нет

Семантические HTML-элементы страницы ?

Структура документа корректна (теги <html> и <body> присутствуют по одному на документ).

Контент

Есть ошибки

Объём и качество текстового содержимого ?

Слова из title 2 встречаются в тексте редко. Добавьте в контент страницы слова из тега <title>!

Абзацев с текстом 55 достаточно.

Среднее число слов в абзаце 37 достаточно.

Кол-во знаков контента 8456 на странице оптимально.

Кол-во слов 1286 на странице оптимально.

Исправить

Заголовки

Ошибок нет

Иерархия заголовков H1–H6 ?

На странице присутствуют заголовки <h1> 3. Это прекрасно.

На странице присутствуют заголовки <h2> 7. Это хорошо.

Тошнота

6,63

Насколько одно слово доминирует в тексте ?

Тошнота превышает норму 3. Измените текст страницы!

Исправить

Академич. тошнота

9,95%

Насколько текст перенасыщен ключевыми словами ?

Академическая тошнота страницы в пределах нормы.

Семантическое ядро

20

Наиболее часто встречающиеся слова на странице ?

Контент страницы содержит осмысленный текст и слова.

Показать список слов

Слово	Кол-во	Частота
tacchetti	44	3,42%
learning	21	1,63%
poggio	16	1,24%
invariant	14	1,09%
representations	13	1,01%
neural	10	0,78%
recognition	9	0,70%
bachrach	8	0,62%
visual	8	0,62%
action	8	0,62%
rosasco	8	0,62%
botvinick	6	0,47%
eccles	6	0,47%
kramár	6	0,47%
multi-agent	6	0,47%
graepel	6	0,47%
systems	6	0,47%
balaguer	5	0,39%
everett	5	0,39%
anthony	5	0,39%

Индексирование

Ошибок нет

Разрешено ли индексирование страницы ?

Анкоров на странице 67 оптимально. Поисковые роботы обязательно проиндексируют сайт.

Robots.txt

Найден корректный robots.txt

Файл управления сканированием сайта роботами ?

Кол-во редиректов для файла robots.txt 3 слишком большое! Это может вызывать затруднение при индексации поисковыми роботами!

Проверяемая страница не запрещена в robots.txt.

Robots.txt доступен по постоянному адресу

Цепочка редиректов для файла robots.txt:

http://andreatacchetti.com/robots.txt 302 Found

http://www.andreatacchetti.com/ 301 MovedPermanently

https://www.andreatacchetti.com/ 200 OK

Показать содержимое robots.txt

<!DOCTYPE html><html lang="en-US" itemscope itemtype="http://schema.org/WebPage"><head><script nonce="q6y17u2u27qObZr8S45fBg">window['ppConfig'] = {productName: '6b8ce7c01e3dacd3d2c7a8cd322ff979', deleteIsEnforced:  false , sealIsEnforced:  false , heartbeatRate:  0.5 , periodicReportingRateMillis:  60000.0 , disableAllReporting:  false };(function(){'use strict';function k(a){var b=0;return function(){return b<a.length?{done:!1,value:a[b++]}:{done:!0}}}function l(a){var b=typeof Symbol!="undefined"&&Symbol.iterator&&a[Symbol.iterator];if(b)return b.call(a);if(typeof a.length=="number")return{next:k(a)};throw Error(String(a)+" is not an iterable or ArrayLike");}var m=typeof Object.defineProperties=="function"?Object.defineProperty:function(a,b,c){if(a==Array.prototype||a==Object.prototype)return a;a[b]=c.value;return a};
function n(a){a=["object"==typeof globalThis&&globalThis,a,"object"==typeof window&&window,"object"==typeof self&&self,"object"==typeof global&&global];for(var b=0;b<a.length;++b){var c=a[b];if(c&&c.Math==Math)return c}throw Error("Cannot find global object");}var p=n(this);function q(a,b){if(b)a:{var c=p;a=a.split(".");for(var d=0;d<a.length-1;d++){var e=a[d];if(!(e in c))break a;c=c[e]}a=a[a.length-1];d=c[a];b=b(d);b!=d&&b!=null&&m(c,a,{configurable:!0,writable:!0,value:b})}}
q("Object.is",function(a){return a?a:function(b,c){return b===c?b!==0||1/b===1/c:b!==b&&c!==c}});q("Array.prototype.includes",function(a){return a?a:function(b,c){var d=this;d instanceof String&&(d=String(d));var e=d.length;c=c||0;for(c<0&&(c=Math.max(c+e,0));c<e;c++){var f=d[c];if(f===b||Object.is(f,b))return!0}return!1}});
q("String.prototype.includes",function(a){return a?a:function(b,c){if(this==null)throw new TypeError("The 'this' value for String.prototype.includes must not be null or undefined");if(b instanceof RegExp)throw new TypeError("First argument to String.prototype.includes must not be a regular expression");return this.indexOf(b,c||0)!==-1}});function r(a,b,c){a("https://csp.withgoogle.com/csp/proto/"+encodeURIComponent(b),JSON.stringify(c))}function t(){var a;if((a=window.ppConfig)==null?0:a.disableAllReporting)return function(){};var b,c,d,e;return(e=(b=window)==null?void 0:(c=b.navigator)==null?void 0:(d=c.sendBeacon)==null?void 0:d.bind(navigator))!=null?e:u}function u(a,b){var c=new XMLHttpRequest;c.open("POST",a);c.send(b)}
function v(){var a=(w=Object.prototype)==null?void 0:w.__lookupGetter__("__proto__"),b=x,c=y;return function(){var d=a.call(this),e,f,g,h;r(c,b,{type:"ACCESS_GET",origin:(f=window.location.origin)!=null?f:"unknown",report:{className:(g=d==null?void 0:(e=d.constructor)==null?void 0:e.name)!=null?g:"unknown",stackTrace:(h=Error().stack)!=null?h:"unknown"}});return d}}
function z(){var a=(A=Object.prototype)==null?void 0:A.__lookupSetter__("__proto__"),b=x,c=y;return function(d){d=a.call(this,d);var e,f,g,h;r(c,b,{type:"ACCESS_SET",origin:(f=window.location.origin)!=null?f:"unknown",report:{className:(g=d==null?void 0:(e=d.constructor)==null?void 0:e.name)!=null?g:"unknown",stackTrace:(h=Error().stack)!=null?h:"unknown"}});return d}}function B(a,b){C(a.productName,b);setInterval(function(){C(a.productName,b)},a.periodicReportingRateMillis)}
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_docs_flag_cek= null ; if (window['DOCS_timing']) {DOCS_timing['ifdld']=new Date().getTime();}</script><meta name="viewport" content="width=device-width, initial-scale=1"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="referrer" content="strict-origin-when-cross-origin"><link rel="icon" href="https://www.gstatic.com/images/branding/productlogos/sites_2026/v3/ico/sites_2026_16dp.ico"><meta property="og:title" content="Andrea Tacchetti"><meta property="og:type" content="website"><meta property="og:url" content="https://www.andreatacchetti.com/"><meta property="og:description" content="About
 I am a Priincipal Research Scientist (Director) at Google DeepMind. I lead the Gemini and GenMedia Safety team.
I obtained my PhD from MIT where I was part of the Computer Science and Artificial Intelligence Laboratory. My thesis advisor was Tomaso Poggio.
Before Graduate School I was part"><meta itemprop="name" content="Andrea Tacchetti"><meta itemprop="description" content="About
 I am a Priincipal Research Scientist (Director) at Google DeepMind. I lead the Gemini and GenMedia Safety team.
I obtained my PhD from MIT where I was part of the Computer Science and Artificial Intelligence Laboratory. My thesis advisor was Tomaso Poggio.
Before Graduate School I was part"><meta itemprop="url" content="https://www.andreatacchetti.com/"><meta itemprop="thumbnailUrl" content="https://lh3.googleusercontent.com/sitesv/AG8ngQVztbbdez6jNX_j_BTAIExG0NFYcS3kEk41yBNml_SrEdaQiFO4JfoFr4dVD4FiaLnZbjRNEYyTjxivtGyPNoR0IR7dP7W1jKYFvjxND9QZCaDEcAnkQx_oexzwVgWmg8cukFeMjSdv3XRwWzHUz6qscfcAa1SeM1LUaGFakIiY4LDXN_rugND4L0BM32AN8Q0Bo2Qn_jQxaT9q=w1280"><meta itemprop="image" content="https://lh3.googleusercontent.com/sitesv/AG8ngQVztbbdez6jNX_j_BTAIExG0NFYcS3kEk41yBNml_SrEdaQiFO4JfoFr4dVD4FiaLnZbjRNEYyTjxivtGyPNoR0IR7dP7W1jKYFvjxND9QZCaDEcAnkQx_oexzwVgWmg8cukFeMjSdv3XRwWzHUz6qscfcAa1SeM1LUaGFakIiY4LDXN_rugND4L0BM32AN8Q0Bo2Qn_jQxaT9q=w1280"><meta itemprop="imageUrl" content="https://lh3.googleusercontent.com/sitesv/AG8ngQVztbbdez6jNX_j_BTAIExG0NFYcS3kEk41yBNml_SrEdaQiFO4JfoFr4dVD4FiaLnZbjRNEYyTjxivtGyPNoR0IR7dP7W1jKYFvjxND9QZCaDEcAnkQx_oexzwVgWmg8cukFeMjSdv3XRwWzHUz6qscfcAa1SeM1LUaGFakIiY4LDXN_rugND4L0BM32AN8Q0Bo2Qn_jQxaT9q=w1280"><meta 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click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.p_5cmo-vqQZsKC_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.p_5cmo-vqQZsKC" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.p_5cmo-vqQZsKC_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class="C9DxTc " style="">About</span></div></h1><p  dir="ltr" class="zfr3Q CDt4Ke " style=""><span class="C9DxTc " style=""> I am a Priincipal Research Scientist (Director) at </span><a class="XqQF9c" href="http://www.deepmind.com/" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Google DeepMind</span></a><span class="C9DxTc " style="">. I lead the Gemini and GenMedia Safety team.</span></p><p  dir="ltr" class="zfr3Q CDt4Ke " style=""><span class="C9DxTc " style="">I obtained my PhD from </span><a class="XqQF9c" href="http://www.mit.edu/" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">MIT</span></a><span class="C9DxTc " style=""> where I was part of the </span><a class="XqQF9c" href="http://www.csail.mit.edu/" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Computer Science and Artificial Intelligence Laboratory</span></a><span class="C9DxTc " style="">. My thesis advisor was </span><a class="XqQF9c" href="http://cbcl.mit.edu/" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Tomaso Poggio</span></a><span class="C9DxTc " style="">.</span></p><p  dir="ltr" class="zfr3Q CDt4Ke " style=""><span class="C9DxTc " style="">Before Graduate School I was part of the Equipment Controls and Electronic section in the Engineering Department at </span><a class="XqQF9c" href="http://home.web.cern.ch/" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">CERN</span></a><span class="C9DxTc " style="">.</span></p><div id="h.p_n9VwrknM5izr" class="CobnVe yMxPgf  aP9Z7e"></div><h2 id="h.p_n9VwrknM5izr_l" dir="ltr" class="zfr3Q JYVBee CDt4Ke " style=""><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.p_n9VwrknM5izr_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.p_n9VwrknM5izr" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.p_n9VwrknM5izr_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class="C9DxTc " style="">Contacts and Links</span></div></h2><p  dir="ltr" class="zfr3Q CDt4Ke " style=""><a class="XqQF9c" href="mailto:atacchet@gmail.com" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Email</span></a></p><p  dir="ltr" class="zfr3Q CDt4Ke " style=""><a class="XqQF9c" href="https://scholar.google.com/citations?user=HKybSogAAAAJ&amp;hl=en&amp;oi=ao" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Google Scholar Profile</span></a></p><p  dir="ltr" class="zfr3Q CDt4Ke " style=""><a class="XqQF9c" href="https://twitter.com/a_tacchetti" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Twitter Profile</span></a></p><p  dir="ltr" class="zfr3Q CDt4Ke " style=""><a class="XqQF9c" href="https://www.linkedin.com/in/andreatacchetti/" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">LinkedIn Profile</span></a></p></div></div></div></div></div></div></div></div></div></section><section id="h.7ec14af8f95e2fef_12" class="yaqOZd WxWicb"><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.7ec14af8f95e2fef_15" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb"><div class="jXK9ad-SmKAyb"><div class="tyJCtd baZpAe"><div class="iwQgFb" role="presentation"></div></div></div></div></div></div></div></div></div></div></section><section id="h.7ec14af8f95e2fef_16" class="yaqOZd"><div class="IFuOkc"></div><div class="mYVXT"><div class="LS81yb VICjCf j5pSsc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="" jscontroller="sGwD4d" jsaction="zXBUYb:zTPCnb;zQF9Uc:Qxe3nd;" jsname="F57UId"><div class="oKdM2c ZZyype Kzv0Me"><div id="h.7ec14af8f95e2fef_19" class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHaque g5GTcb"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZpAe"><div id="h.p_5QOS4naJZx9v" class="Ap4VC yMxPgf  aP9Z7e"></div><h1 id="h.p_5QOS4naJZx9v_l" dir="ltr" class="zfr3Q duRjpb CDt4Ke " style=""><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.p_5QOS4naJZx9v_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.p_5QOS4naJZx9v" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.p_5QOS4naJZx9v_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class="C9DxTc " style="">Publications</span></div></h1><div id="h.p_fDVsi2y_ZyMn" class="CobnVe yMxPgf  aP9Z7e"></div><h2 id="h.p_fDVsi2y_ZyMn_l" dir="ltr" class="zfr3Q JYVBee CDt4Ke " style=""><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.p_fDVsi2y_ZyMn_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.p_fDVsi2y_ZyMn" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.p_fDVsi2y_ZyMn_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class="C9DxTc " style="">Pre-prints</span></div></h2><ul class="n8H08c UVNKR " style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://psyarxiv.com/cr58a/" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Scaffolding cooperation in human groups with deep reinforcement learning</span></a><span class="C9DxTc " style="">, McKee K, Tacchetti A, Bakker M, Balaguer J, Campbell-Gillingham L, Everett R, Botvinick M, 2022</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://arxiv.org/abs/2202.10135" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">The Good Shepherd: An Oracle Agent for Mechanism Design</span></a><span class="C9DxTc " style="">. Balaguer J, Koster R, Summerfield C, Tacchetti A; 2022</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://arxiv.org/abs/2202.10122" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">HCMD-zero: Learning Value Aligned Mechanisms from Data</span></a><span class="C9DxTc " style="">. Balaguer J, Koster R, Weinstein A, Campbell-Gillingham L, Summerfield C, Botvinick M, Tacchetti A; 2022</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://arxiv.org/abs/2201.11441" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Human-centered mechanism design with Democratic AI</span></a><span class="C9DxTc " style="">. Koster R, Balaguer J, Tacchetti A, Weinstein A, Zhu T, Hauser O, Williams D, Campbell-Gillingham L, Thacher P, Botvinick M, Summerfield C&#39; 2022</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://arxiv.org/abs/2106.01285" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent</span></a><span class="C9DxTc " style="">. Gemp I, Savani R, Lanctot M, Bachrach Y, Anthony T, Everett R,  Tacchetti A, Eccles T, Kramár J; 2021</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://arxiv.org/abs/2106.01285" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">D3C: Reducing the Price of Anarchy in Multi-Agent Learning</span></a><span class="C9DxTc " style="">. Gemp I, McKee K, Everett R, Duéñez-Guzmán E, Bachrach Y, Balduzzi D, Tacchetti A; 2021</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://arxiv.org/abs/2006.04635" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Learning to Play No-Press Diplomacy with Best Response Policy Iteration</span></a><span class="C9DxTc " style="">. Anthony T*, Eccles T*, Tacchetti A, Kramár J, Gemp I, Hudson TC, Porcel N, Lanctot M, Pérolat J, Everett J, Singh S, Graepel T, Bachrach Y; 2020</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://arxiv.org/abs/1907.05181" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">A Neural Architecture for Designing Truthful and Efficient Auctions</span></a><span class="C9DxTc " style="">. Tacchetti A, Strouse DJ, Garnelo M, Graepel T, Bachrach Y; 2019</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://arxiv.org/abs/1809.11044" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Relational Forward Models for Multi-Agent Learning</span></a><span class="C9DxTc " style="">. Tacchetti A*, Song H F*, Mediano P A M*, Zambaldi V, Rabinowitz N C, Graepel T, Botvinick M, Battaglia P; 2018</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://arxiv.org/abs/1706.01433" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Visual Interaction Networks</span></a><span class="C9DxTc " style="">. Watters N, Tacchetti A, Weber T, Pascanu R, Battaglia P, Zoran D; 2017</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="http://arxiv.org/abs/1606.04698" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Invariant recognition drives neural representations of action sequences</span></a><span class="C9DxTc " style="">. Tacchetti A*, Isik L* Poggio T; 2017</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://arxiv.org/abs/1703.04775" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Discriminiate-and-rectify Encoders: Learning from Image Transfromation Sets</span></a><span class="C9DxTc " style="">. Tacchetti A*, Voinea S*, Evangelopoulos G; 2017</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="http://arxiv.org/abs/1601.01358" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Fast, invariant representations for human actions in the visual system</span></a><span class="C9DxTc " style="">. Isik L*, Tacchetti A*, Poggio T; 2016</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="http://arxiv.org/abs/1405.0042v1" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Regularization by Early Stopping for Online Learning Algorithms</span></a><span class="C9DxTc " style="">. Rosasco L, Tacchetti A, Villa S; 2014 (</span><a class="XqQF9c" href="http://arxiv.org/abs/1405.0042v2" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">updated version</span></a><span class="C9DxTc " style=""> by Rosasco L, and Villa S. 2015)</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="http://dspace.mit.edu/handle/1721.1/79828" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Does invariant recognition predict tuning of neurons in sensory cortex?</span></a><span class="C9DxTc " style=""> Poggio T, Mutch J, Anselmi F, Tacchetti A, Rosasco R, Leibo J; 2013</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="http://arxiv.org/abs/1311.4158" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Unsupervised learning of invariant representations in hierarchical architectures</span></a><span class="C9DxTc " style="">. Anselmi F, Joel L, Rosasco L, Mutch J, Tacchetti A, Poggio T; 2013</span></p></li></ul><div id="h.p_xZ2MiAe2iytH" class="CobnVe yMxPgf  aP9Z7e"></div><h2 id="h.p_xZ2MiAe2iytH_l" dir="ltr" class="zfr3Q JYVBee CDt4Ke " style=""><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.p_xZ2MiAe2iytH_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.p_xZ2MiAe2iytH" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.p_xZ2MiAe2iytH_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class="C9DxTc " style="">Conference Papers</span></div></h2><ul class="n8H08c UVNKR " style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://arxiv.org/abs/2210.09257" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers</span></a><span class="C9DxTc " style="">, Marris L, Gemp I, Anthony T, Tacchetti A, Liu S, Tuyls K,  </span><span class="C9DxTc " style="font-variant: normal;">Neural Information Processing Systems (NeurIPS) 2</span><span class="C9DxTc " style="">022</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://openreview.net/forum?id=H-MDj5kaxc" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="font-variant: normal; text-decoration: underline;">Teamwork Reinforcement Learning with Concave Utilities</span></a><span class="C9DxTc " style="font-variant: normal;">. Yu Z, Zhang J, Wen Z, Tacchetti A, Wang M, Gemp I, ICLR 2022 Workshop on Gam</span><span class="C9DxTc " style="">ification and Multiagent Solutions. 2022</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://proceedings.neurips.cc/paper/2020/hash/d1419302db9c022ab1d48681b13d5f8b-Abstract.html" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Learning to Play No-Press Diplomacy with Best Response Policy Iteration</span></a><span class="C9DxTc " style="">. Anthony T, Eccles T, Tacchetti A, Kramár J, Gemp I, Hudson T, Porcel N, Lanctot M, Perolat J, Everett R, Singh S, Graepel T, Bachrach Y; </span><span class="C9DxTc " style="font-variant: normal;">Neural Information Processing Systems (NeurIPS) 20</span><span class="C9DxTc " style="">20 (Spotlight talk)</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://arxiv.org/abs/2004.07625" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Should I tear down this wall? Optimizing social metrics by evaluating novel actions</span></a><span class="C9DxTc " style="">. Kramár J, Rabinowitz N, Eccles T, Tacchetti A; International Workshop on Coordination, Organizations, Institutions, Norms and Ethics for Governance of Multi-Agent Systems (COINE) 2020.</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://openreview.net/pdf?id=rJlEojAqFm" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Relational Forward Models for Multi-agent learning</span></a><span class="C9DxTc " style="">. Tacchetti A, Song HF, Mediano, PAM, Zambaldi V, Kramár, Rabinowitz NC, Graepel T, Botvinick M, Battaglia P; International Conference on Learning Representations (ICLR) 2019.</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://papers.nips.cc/paper/8170-trading-robust-representations-for-sample-complexity-through-self-supervised-visual-experience.pdf" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Trading robust representations for sample complexity through self-supervised visual experience</span></a><span class="C9DxTc " style="">. Tacchetti A, Voinea S, Evangelopoulos G; Neural Information Processing Systems (NeurIPS) 2018</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://papers.nips.cc/paper/7040-visual-interaction-networks-learning-a-physics-simulator-from-video" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Visual Interaction Networks: Learning a Physics Simulator from Video</span></a><span class="C9DxTc " style="">. Watters N, Tacchetti A, Weber T, Pascanu R, Battaglia P, Zoran D; Neural Information Processing Systems (NeurIPS) 2017</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://ccn.societyconference.com/documents/1031/59287b7c68ed3fff4b8a2563.pdf" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Invariant recognition drives neural representations of action sequences</span></a><span class="C9DxTc " style="">. Isik L*, Tacchetti A*, Poggio T; Cognitive Computational Neuroscience; 2017</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://www.aaai.org/ocs/index.php/SSS/SSS17/paper/view/15357" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Representation Learning from Orbit Sets for One-Shot Classification</span></a><span class="C9DxTc " style="">. Tacchetti A*, Voinea S*, Evangelopoulos G, Poggio T; 2017 AAAI Spring Symposium Series; 2017</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="http://jov.arvojournals.org/article.aspx?articleid=2433666" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Invariant representations for action recognition in the visual system</span></a><span class="C9DxTc " style="">. Tacchetti A*, Isik L*, Poggio, T. Journal of Vision (Oral Presentation at VSS); 2015</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><span class="C9DxTc " style="">Invariant representations for action recognition in the visual system. Isik L*, Tacchetti A*, Poggio, T. Computational and Systems Neuroscience (COSYNE); 2015</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><span class="C9DxTc " style="">Invariant representations of action recognition. Isik L*, Tacchetti A*, Poggio T; Society for Neuroscience 2014.</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><span class="C9DxTc " style="">Readout of dynamic action sequences using MEG decoding. Isik L, Tacchetti A, Poggio T; Biomagnetism, 2014.</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6350190" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Implementation and tuning of the Extended Kalman Filter for a sensorless drive working with arbitrary stepper motors and cable lengths</span></a><span class="C9DxTc " style="">. Butcher M, Masi A, Martino M, Tacchetti A; International Conference on Electrical Machines (ICEM). 2012.</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="http://biglearn.org/2011/files/papers/biglearn2011_submission_27.pdf" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">GURLS: a Toolbox for Large Scale Multiclass Learning</span></a><span class="C9DxTc " style="">. Tacchetti A, Mallapragada P, Santoro M, Rosasco L. NeurIPS Workshop on Parallel and Large-Scale Machine Learning; 2011</span></p></li></ul><div id="h.p_MskIk44ZZyMo" class="CobnVe yMxPgf  aP9Z7e"></div><h2 id="h.p_MskIk44ZZyMo_l" dir="ltr" class="zfr3Q JYVBee CDt4Ke " style=""><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.p_MskIk44ZZyMo_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.p_MskIk44ZZyMo" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.p_MskIk44ZZyMo_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class="C9DxTc " style="">Journal Papers</span></div></h2><ul class="n8H08c UVNKR " style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://www.nature.com/articles/s41467-022-34473-5" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Negotiation and honesty in artificial intelligence methods for the board game of Diplomacy</span></a><span class="C9DxTc " style="">, Kramár J, Eccles T,  Gemp I, Tacchetti A, McKee K, Malinowski M, Graepel T, Bachrach Y, Nature Communications 2022</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://www.nature.com/articles/s41598-022-20234-3" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Designing all-pay auctions using deep learning and multi-agent simulation</span></a><span class="C9DxTc " style="">, Gemp I, Anthony T, Kramar J, Eccles T, Tacchetti A, Bachrach Y, Nature Scientific Reports 2022</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://www.nature.com/articles/s41562-022-01383-x" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Human-centred mechanism design with Democratic AI</span></a><span class="C9DxTc " style="">, Koster R, Balaguer J, Tacchetti A, Weinstein A, Zhu T, Hauser O, Williams D, Campbell-Gillingham L, Thacker P, Botvinick M, Summerfield C. Nature Human Behavior 2022</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://www.jair.org/index.php/jair/article/view/12594" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Evaluating Strategic Structures in Multi-Agent Inverse Reinforcement Learning</span></a><span class="C9DxTc " style="">. Fu J, Tacchetti A, Perolat J, Bachrach Y; JAIR, 2021</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://dffad6b3-b811-473a-b034-f4a8f7fa3500.filesusr.com/ugd/19a669_beaa98d37e494162aee90ea33bead201.pdf" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Invariant Recognition Shapes Neural Representations of Visual Input</span></a><span class="C9DxTc " style="">. Tacchetti A, Isik L, Poggio T. Annual Reviews of Vision Science; 2018</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005859" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Invariant recognition drives neural representations of action sequences</span></a><span class="C9DxTc " style="">. Tacchetti A*, Isik L*, Poggio T. PLOS Computational Biology; 2017</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="http://www.physiology.org/doi/10.1152/jn.00642.2017" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">A fast, invariant representation for human action in the visual system</span></a><span class="C9DxTc " style="">. Isik L*, Tacchetti A*, Poggio T; Journal of Neurophysiology, 2017 (selected for </span><a class="XqQF9c" href="http://apsselect.physiology.org/" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="font-style: italic; text-decoration: underline;">APSselect</span></a><span class="C9DxTc " style="">, a collection from the APS that showcases some of the best recently published articles in physiological research).</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="http://www.sciencedirect.com/science/article/pii/S0304397515005587" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Unsupervised learning or invariant representations</span></a><span class="C9DxTc " style="">. Anselmi F, Leibo J, Rosasco L, Mutch J, Tacchetti A, Poggio T; Theoretical Computer Science, 2015.</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="http://jmlr.org/papers/v14/tacchetti13a.html" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">GURLS: A Least Squares Library for Supervised Learining</span></a><span class="C9DxTc " style="">. Tacchetti A, Mallapragada P, Santoro M, Rosasco L; Journal of Machine Learning Research 14, 3201-3205, 2013.</span></p></li></ul><div id="h.p_yonTpQIjZyMr" class="CobnVe yMxPgf  aP9Z7e"></div><h2 id="h.p_yonTpQIjZyMr_l" dir="ltr" class="zfr3Q JYVBee CDt4Ke " style=""><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.p_yonTpQIjZyMr_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.p_yonTpQIjZyMr" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.p_yonTpQIjZyMr_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class="C9DxTc " style="">Book Chapters</span></div></h2><ul class="n8H08c UVNKR " style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="http://link.springer.com/chapter/10.1007%2F978-981-10-0213-7_5" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Invariant Recognition Predicts Tuning of Neurons in Sensory Cortex</span></a><span class="C9DxTc " style="">. Mutch J, Anselmi F, Tacchetti A, Rosasco L, Leibo J, Poggio T; Computational and Cognitive Neuroscience of Vision, 2016.</span></p></li></ul><div id="h.p_8QHEyUxvi1e-" class="CobnVe yMxPgf  aP9Z7e"></div><h2 id="h.p_8QHEyUxvi1e-_l" dir="ltr" class="zfr3Q JYVBee CDt4Ke " style=""><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.p_8QHEyUxvi1e-_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.p_8QHEyUxvi1e-" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.p_8QHEyUxvi1e-_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class="C9DxTc " style="">Thesis</span></div></h2><ul class="n8H08c UVNKR " style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://dspace.mit.edu/handle/1721.1/113935" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Learning Invariant Representations of Actions and Faces</span></a><span class="C9DxTc " style="">. Tacchetti A. PhD Thesis, MIT, Department of Electrical Engineering and Computer Science, 2018.</span></p></li></ul><div id="h.p_cmdfOycsZyM4" class="CobnVe yMxPgf  aP9Z7e"></div><h2 id="h.p_cmdfOycsZyM4_l" dir="ltr" class="zfr3Q JYVBee CDt4Ke " style=""><div jscontroller="Ae65rd" jsaction="touchstart:UrsOsc; click:KjsqPd; focusout:QZoaZ; mouseover:y0pDld; mouseout:dq0hvd;fv1Rjc:jbFSOd;CrfLRd:SzACGe;" class="CjVfdc"><div class="PPhIP rviiZ" jsname="haAclf"><div role="presentation" class="U26fgb mUbCce fKz7Od LRAOtb Znu9nd M9Bg4d" jscontroller="mxS5xe" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;" jsshadow aria-describedby="h.p_cmdfOycsZyM4_l" aria-label="Copy heading link" aria-disabled="false" data-tooltip="Copy heading link" aria-hidden="true" data-tooltip-position="top" data-tooltip-vertical-offset="12" data-tooltip-horizontal-offset="0"><a class="FKF6mc TpQm9d" href="#h.p_cmdfOycsZyM4" aria-label="Copy heading link" jsname="hiK3ld" role="button" aria-describedby="h.p_cmdfOycsZyM4_l"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -11px"><svg class="OUGEr QdAdhf" width="22px" height="22px" viewBox="0 0 24 24" fill="currentColor" focusable="false"><path d="M0 0h24v24H0z" fill="none"/><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"/></svg></span></span></a></div></div><span class="C9DxTc " style="">Popular Press</span></div></h2><ul class="n8H08c UVNKR " style="list-style-type: square; margin-left: 0; margin-right: 0; padding: 0;"><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://www.vice.com/en/article/z34xvw/googles-democratic-ai-is-better-at-redistributing-wealth-than-america" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Google’s ‘Democratic AI’ Is Better at Redistributing Wealth Than America</span></a><span class="C9DxTc " style="">. Janus Rose, VICE 2022</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://www.techrepublic.com/article/deepmind-sets-ai-loose-on-diplomacy-board-game-and-collaboration-is-key/" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">DeepMind sets AI loose on Diplomacy board game, and collaboration is key</span></a><span class="C9DxTc " style="">.  R. Dallon Adams. TechRepublic. 2020</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://venturebeat.com/2020/06/10/deepmind-hopes-to-teach-ai-to-cooperate-by-playing-diplomacy/" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">DeepMind hopes to teach AI to cooperate by playing Diplomacy</span></a><span class="C9DxTc " style="">. Kyle Wiggers. Venture Beat. 2020</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://jack-clark.net/2018/10/08/import-ai-115-what-the-dod-is-planning-for-its-robots-over-the-next-25-years-ai-benchmark-identifies-2018s-speediest-ai-phone-and-deepmind-embeds-graph-networks-into-ai-agents/" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Want to understand the mind of another? Get relational!</span></a><span class="C9DxTc " style="">. Jack Clark. Import AI. 2018</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="https://www.technologyreview.com/s/608108/forget-alphago-deepminds-has-a-more-interesting-step-towards-general-ai/?set=608109" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Forget AlphaGo — DeepMind Has a More Interesting Step Toward General AI</span></a><span class="C9DxTc " style="">. Will Knight, MIT Technology Review. 2017</span></p></li><li  dir="ltr" class="zfr3Q TYR86d eD0Rn " style="margin-left: 15.0pt;"><p  dir="ltr" role="presentation" class="zfr3Q CDt4Ke " style="margin-left: 0.0pt; padding-left: 0.0pt; text-align: left; text-indent: 0.0pt;"><a class="XqQF9c" href="http://news.mit.edu/2015/algorithms-recognize-objects-few-examples-1223" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">Machines that learn like people</span></a><span class="C9DxTc " style="">. Larry Hardesty, MIT News. 2015 (picked up by </span><a class="XqQF9c" href="http://phys.org/news/2015-12-machines-people.html" target="_blank" style="color: inherit; text-decoration: none;"><span class="C9DxTc aw5Odc " style="text-decoration: underline;">PHYS.ORG</span></a><span class="C9DxTc " style="">)</span></p></li></ul></div></div></div></div></div></div></div></div></div></section></div><div class="Xpil1b xgQ6eb"></div><div jscontroller="j1RDQb" jsaction="rcuQ6b:rcuQ6b;MxH79b:JdcaS;FaOgy:XuHpsb;" class="dZA9kd ynRLnc" data-is-preview="false"><div role="button" class="U26fgb JRtysb WzwrXb I12f0b K2mXPb zXBiaf ynRLnc" jscontroller="iSvg6e" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;touchstart:p6p2H; touchmove:FwuNnf; touchend:yfqBxc(preventDefault=true); touchcancel:JMtRjd;;keydown:I481le;" jsshadow jsname="Bg3gkf" aria-label="Site actions" aria-disabled="false" tabindex="0" aria-haspopup="true" aria-expanded="false" data-menu-corner="bottom-start" data-anchor-corner="top-start"><div class="NWlf3e MbhUzd" jsname="ksKsZd"></div><span jsslot class="MhXXcc oJeWuf"><span class="Lw7GHd snByac"><svg width="24" height="24" viewBox="0 0 24 24" focusable="false" class=" NMm5M"><path d="M11 17h2v-6h-2v6zm1-15C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm0 18c-4.41 0-8-3.59-8-8s3.59-8 8-8 8 3.59 8 8-3.59 8-8 8zM11 9h2V7h-2v2z"/></svg></span></span><div jsname="xl07Ob" style="display:none" aria-hidden="true"><div class="JPdR6b hVNH5c" jscontroller="uY3Nvd" jsaction="IpSVtb:TvD9Pc;fEN2Ze:xzS4ub;frq95c:LNeFm;cFpp9e:J9oOtd; click:H8nU8b; mouseup:H8nU8b; keydown:I481le; keypress:Kr2w4b; blur:O22p3e; focus:H8nU8b" role="menu" tabindex="0" style="position:fixed"><div class="XvhY1d" jsaction="mousedown:p8EH2c; touchstart:p8EH2c;"><div class="JAPqpe K0NPx"><span jsslot class="z80M1 FeRvI" jsaction="click:o6ZaF(preventDefault=true); mousedown:lAhnzb; mouseup:Osgxgf; mouseenter:SKyDAe; mouseleave:xq3APb;touchstart:jJiBRc; touchmove:kZeBdd; touchend:VfAz8" jsname="j7LFlb" aria-label="Google Sites" role="menuitem" tabindex="-1"><div class="aBBjbd MbhUzd" jsname="ksKsZd"></div><div class="uyYuVb oJeWuf" jsaction="JIbuQc:Toy3n;" jsname="V2zOu"><div class="jO7h3c">Google Sites</div></div></span><span jsslot class="z80M1 FeRvI" jsaction="click:o6ZaF(preventDefault=true); mousedown:lAhnzb; mouseup:Osgxgf; mouseenter:SKyDAe; mouseleave:xq3APb;touchstart:jJiBRc; touchmove:kZeBdd; touchend:VfAz8" jsname="j7LFlb" aria-label="Report abuse" role="menuitem" tabindex="-1"><div class="aBBjbd MbhUzd" jsname="ksKsZd"></div><div class="uyYuVb oJeWuf" jscontroller="HYv29e" jsaction="JIbuQc:dQ6O0c;" jsname="lV5oke" data-abuse-reporting-widget-proto="%.@.null,&quot;https://sites.google.com/view/andreatacchetti&quot;]"><div class="jO7h3c">Report abuse</div></div></span></div></div></div></div></div></div><div jscontroller="j1RDQb" jsaction="focusin:gBxDVb(srlkmf); focusout:zvXhGb(srlkmf); click:ro2KTd(psdQ5e);JIbuQc:DSypkd(Bg3gkf);MxH79b:JdcaS;rcuQ6b:rcuQ6b;" class="LqzjUe ynRLnc" data-is-preview="false"><div jsname="psdQ5e" class="Q0cSn"></div><div jsname="bN97Pc" class="hBW7Hb"><div role="button" class="U26fgb mUbCce fKz7Od kpPxtd QMuaBc M9Bg4d" jscontroller="VXdfxd" jsaction="click:cOuCgd; mousedown:UX7yZ; mouseup:lbsD7e; mouseenter:tfO1Yc; mouseleave:JywGue; focus:AHmuwe; blur:O22p3e; contextmenu:mg9Pef;touchstart:p6p2H; touchmove:FwuNnf; touchend:yfqBxc(preventDefault=true); touchcancel:JMtRjd;" jsshadow jsname="Bg3gkf" aria-label="Site actions" aria-disabled="false" tabindex="-1" aria-hidden="true"><div class="VTBa7b MbhUzd" jsname="ksKsZd"></div><span jsslot class="xjKiLb"><span class="Ce1Y1c" style="top: -12px"><svg width="24" height="24" viewBox="0 0 24 24" focusable="false" class=" NMm5M"><path d="M11 17h2v-6h-2v6zm1-15C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm0 18c-4.41 0-8-3.59-8-8s3.59-8 8-8 8 3.59 8 8-3.59 8-8 8zM11 9h2V7h-2v2z"/></svg></span></span></div><div jsname="srlkmf" class="hUphyc"><div class="YkaBSd" jsaction="click:Toy3n;"><div role="button" class="U26fgb kpPxtd J7BuEb" jsshadow jsname="V2zOu" aria-disabled="false" tabindex="0">Google Sites</div></div><div class="YkaBSd" jscontroller="HYv29e" jsaction="click:dQ6O0c;" data-abuse-reporting-widget-proto="%.@.null,&quot;https://sites.google.com/view/andreatacchetti&quot;]"><div role="button" class="U26fgb kpPxtd J7BuEb" jsshadow aria-label="Report abuse" aria-disabled="false" tabindex="0">Report abuse</div></div></div></div></div></div></div></div><script nonce="q6y17u2u27qObZr8S45fBg">DOCS_timing['cov']=new Date().getTime();</script><script src="https://www.gstatic.com/_/atari/_/js/k=atari.vw.en_US.lM9D4hCvW98.O/am=IAACHAAE/d=1/rs=AGEqA5mvX-DVdqeLqmgX9kg-nVf7XAe6wg/m=view" id="base-js" nonce="q6y17u2u27qObZr8S45fBg"></script></div></div><div jscontroller="YV8yqd" jsaction="rcuQ6b:npT2md"></div></body></html>

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deepmind.com	<span class="C9DxTc aw5Odc " style="text-decoration: underline;">Google DeepMind</span>	Анализировать url
mit.edu	<span class="C9DxTc aw5Odc " style="text-decoration: underline;">MIT</span>	Анализировать url
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cbcl.mit.edu	<span class="C9DxTc aw5Odc " style="text-decoration: underline;">Tomaso Poggio</span>	Анализировать url
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arxiv.org	<span class="C9DxTc aw5Odc " style="text-decoration: underline;">The Good Shepherd: An Oracle Agent for Mechanism Design</span>	Анализировать url
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arxiv.org	<span class="C9DxTc aw5Odc " style="text-decoration: underline;">Human-centered mechanism design with Democratic AI</span>	Анализировать url
arxiv.org	<span class="C9DxTc aw5Odc " style="text-decoration: underline;">Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent</span>	Анализировать url
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