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Tom Eccles
Tom Eccles
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Title
Cited by
Cited by
Year
A generalist agent
S Reed, K Zolna, E Parisotto, SG Colmenarejo, A Novikov, G Barth-Maron, ...
arXiv preprint arXiv:2205.06175, 2022
7692022
Competition-level code generation with alphacode
Y Li, D Choi, J Chung, N Kushman, J Schrittwieser, R Leblond, T Eccles, ...
Science 378 (6624), 1092-1097, 2022
7602022
Cyprien de Masson d’Autume, Igor Babuschkin, Xinyun Chen, Po-Sen Huang, Johannes Welbl, Sven Gowal, Alexey Cherepanov, James Molloy, Daniel J
Y Li, D Choi, J Chung, N Kushman, J Schrittwieser, R Leblond, T Eccles, ...
Science 378 (6624), 1092-1097, 2022
2472022
Mastering the game of Stratego with model-free multiagent reinforcement learning
J Perolat, B De Vylder, D Hennes, E Tarassov, F Strub, V de Boer, ...
Science 378 (6623), 990-996, 2022
1722022
Life-long disentangled representation learning with cross-domain latent homologies
A Achille, T Eccles, L Matthey, C Burgess, N Watters, A Lerchner, ...
Advances in Neural Information Processing Systems 31, 2018
1342018
An investigation of model-free planning
A Guez, M Mirza, K Gregor, R Kabra, S Racaničre, T Weber, D Raposo, ...
International Conference on Machine Learning, 2464-2473, 2019
952019
Biases for emergent communication in multi-agent reinforcement learning
T Eccles, Y Bachrach, G Lever, A Lazaridou, T Graepel
Advances in neural information processing systems 32, 2019
802019
Learning to play no-press diplomacy with best response policy iteration
T Anthony, T Eccles, A Tacchetti, J Kramár, I Gemp, T Hudson, N Porcel, ...
Advances in Neural Information Processing Systems 33, 17987-18003, 2020
512020
Learning reciprocity in complex sequential social dilemmas
T Eccles, E Hughes, J Kramár, S Wheelwright, JZ Leibo
arXiv preprint arXiv:1903.08082, 2019
492019
Union-closed families of sets
I Balla, B Bollobás, T Eccles
Journal of Combinatorial Theory, Series A 120 (3), 531-544, 2013
442013
Graphs of large linear size are antimagic
T Eccles
Journal of graph theory 81 (3), 236-261, 2016
402016
Negotiation and honesty in artificial intelligence methods for the board game of Diplomacy
J Kramár, T Eccles, I Gemp, A Tacchetti, KR McKee, M Malinowski, ...
Nature Communications 13 (1), 7214, 2022
382022
Reinforcement learning agents acquire flocking and symbiotic behaviour in simulated ecosystems
P Sunehag, G Lever, S Liu, J Merel, N Heess, JZ Leibo, E Hughes, ...
Artificial life conference proceedings, 103-110, 2019
322019
A generalist agent. arXiv 2022
S Reed, K Zolna, E Parisotto, SG Colmenarejo, A Novikov, G Barth-Maron, ...
arXiv preprint arXiv:2205.06175, 1-40, 0
31
Learning to resolve alliance dilemmas in many-player zero-sum games
E Hughes, TW Anthony, T Eccles, JZ Leibo, D Balduzzi, Y Bachrach
arXiv preprint arXiv:2003.00799, 2020
232020
C. d. M. d’Autume, I. Babuschkin, X. Chen, P
Y Li, D Choi, J Chung, N Kushman, J Schrittwieser, R Leblond, T Eccles, ...
S. Huang, J. Welbl, S. Gowal, A. Cherepanov, J. Molloy, DJ Mankowitz, ES …, 2022
202022
Sample-based approximation of Nash in large many-player games via gradient descent
I Gemp, R Savani, M Lanctot, Y Bachrach, T Anthony, R Everett, ...
arXiv preprint arXiv:2106.01285, 2021
182021
A generalist agent. arXiv
S Reed, K Zolna, E Parisotto, SG Colmenarejo, A Novikov, G Barth-Maron, ...
arXiv preprint arXiv:2205.06175, 2022
162022
An investigation of model-free planning: boxoban levels
A Guez, M Mirza, K Gregor, R Kabra, S Racaniere, T Weber, D Raposo, ...
162018
The Imitation Game: Learned Reciprocity in Markov games.
T Eccles, E Hughes, J Kramár, S Wheelwright, JZ Leibo
AAMAS 19, 3, 2019
112019
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Articles 1–20