Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Thore Graepel"'
Autor:
János Kramár, Tom Eccles, Ian Gemp, Andrea Tacchetti, Kevin R. McKee, Mateusz Malinowski, Thore Graepel, Yoram Bachrach
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
Artificial Intelligence has achieved success in a variety of single-player or competitive two-player games with no communication between players. Here, the authors propose an approach where Artificial Intelligence agents have ability to negotiate and
Externí odkaz:
https://doaj.org/article/5f223cd84fe5408ebddd08eaf714cb79
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 26:38-44
We examine designs for crowdsourcing contests, where participants compete for rewards given to superior solutions of a task. We theoretically analyze tradeoffs between the expectation and variance of the principal's utility (i.e. the best solution's
Autor:
Daniel Hennes, Gregory Thornton, Bart De Vylder, S. M. Ali Eslami, Trevor Back, Zhe Wang, Pauline Luc, Karl Tuyls, Alex Bridgland, Nathalie Beauguerlange, Rémi Munos, Praneet Dutta, Alexandre Galashov, Jerome T. Connor, Tim Waskett, William Spearman, Razia Ahamed, Mark Rowland, Andrew Jaegle, Dafydd Steele, Julien Perolat, Shayegan Omidshafiei, Simon Bouton, Jackson Broshear, Kris Cao, Paul Muller, Nicolas Heess, Michal Valko, Demis Hassabis, Marta Garnelo, Adrià Recasens, Ian Graham, Thore Graepel, Pablo Sprechmann, Romuald Elie, Pol Moreno
Publikováno v:
Journal of Artificial Intelligence Research. 71:41-88
The rapid progress in artificial intelligence (AI) and machine learning has opened unprecedented analytics possibilities in various team and individual sports, including baseball, basketball, and tennis. More recently, AI techniques have been applied
Publikováno v:
Nature. 593:33-36
To help humanity solve fundamental problems of cooperation, scientists need to reconceive artificial intelligence as deeply social. To help humanity solve fundamental problems of cooperation, scientists need to reconceive artificial intelligence as d
Autor:
Tom Eccles, János Kramár, Dan Rosenbaum, Yoram Bachrach, Marta Garnelo, Ian Gemp, Thore Graepel
Publikováno v:
IJCAI
We propose a system for conducting an auction over locations in a continuous space. It enables participants to express their preferences over possible choices of location in the space, selecting the location that maximizes the total utility of all ag
Autor:
Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess
Intelligent behaviour in the physical world exhibits structure at multiple spatial and temporal scales. Although movements are ultimately executed at the level of instantaneous muscle tensions or joint torques, they must be selected to serve goals de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::136f453d1f80e4f5fc6fd35dcebba59d
http://arxiv.org/abs/2105.12196
http://arxiv.org/abs/2105.12196
Autor:
Demis Hassabis, Ioannis Antonoglou, Thore Graepel, Julian Schrittwieser, Timothy P. Lillicrap, Karen Simonyan, Laurent Sifre, Marc Lanctot, Thomas Hubert, Dharshan Kumaran, Matthew Lai, David Silver, Arthur Guez
Publikováno v:
Science. 362:1140-1144
One program to rule them all Computers can beat humans at increasingly complex games, including chess and Go. However, these programs are typically constructed for a particular game, exploiting its properties, such as the symmetries of the board on w
Publikováno v:
IJCNN
In the future, artificial learning agents are likely to become increasingly widespread in our society. They will interact with both other learning agents and humans in a variety of complex settings including social dilemmas. We consider the problem o
Autor:
Richard Everett, Csaba Szepesvári, Joel Z. Leibo, Edward Hughes, Julien Perolat, Thore Graepel, Karl Tuyls, Marc Lanctot
Publikováno v:
AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS
This paper provides several theoretical results for empirical game theory. Specifically, we introduce bounds for empirical game theoretical analysis of complex multi-agent interactions. In doing so we provide insights in the empirical meta game showi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d27236cd731c967a18a150c43bb3d3e3
http://livrepository.liverpool.ac.uk/3077039/1/Tuyls2019_Article_BoundsAndDynamicsForEmpiricalG.pdf
http://livrepository.liverpool.ac.uk/3077039/1/Tuyls2019_Article_BoundsAndDynamicsForEmpiricalG.pdf