Tom Eccles
Tom Eccles
Tuntematon yhteys
Vahvistettu sähköpostiosoite verkkotunnuksessa
Life-long disentangled representation learning with cross-domain latent homologies
A Achille, T Eccles, L Matthey, CP Burgess, N Watters, A Lerchner, ...
arXiv preprint arXiv:1808.06508, 2018
An investigation of model-free planning
A Guez, M Mirza, K Gregor, R Kabra, S Racanière, T Weber, D Raposo, ...
International Conference on Machine Learning, 2464-2473, 2019
Union-closed families of sets
I Balla, B Bollobás, T Eccles
Journal of Combinatorial Theory, Series A 120 (3), 531-544, 2013
Graphs of large linear size are antimagic
T Eccles
Journal of Graph Theory 81 (3), 236-261, 2016
Biases for emergent communication in multi-agent reinforcement learning
T Eccles, Y Bachrach, G Lever, A Lazaridou, T Graepel
arXiv preprint arXiv:1912.05676, 2019
Learning reciprocity in complex sequential social dilemmas
T Eccles, E Hughes, J Kramár, S Wheelwright, JZ Leibo
arXiv preprint arXiv:1903.08082, 2019
Learning to play no-press diplomacy with best response policy iteration
T Anthony, T Eccles, A Tacchetti, J Kramár, I Gemp, TC Hudson, N Porcel, ...
arXiv preprint arXiv:2006.04635, 2020
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, ...
ALIFE 2019: The 2019 Conference on Artificial Life, 103-110, 2019
A stability result for the union-closed size problem
T Eccles
Combinatorics, Probability and Computing 25 (3), 399-418, 2016
The Imitation Game: Learned Reciprocity in Markov games.
T Eccles, E Hughes, J Kramár, S Wheelwright, JZ Leibo
AAMAS, 1934-1936, 2019
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
Partial shadows of set systems
B Bollobás, T Eccles
Combinatorics, Probability and Computing 24 (5), 825-828, 2015
Human-agent cooperation in bridge bidding
E Lockhart, N Burch, N Bard, S Borgeaud, T Eccles, L Smaira, R Smith
arXiv preprint arXiv:2011.14124, 2020
Should I tear down this wall? Optimizing social metrics by evaluating novel actions
J Kramár, N Rabinowitz, T Eccles, A Tacchetti
arXiv preprint arXiv:2004.07625, 2020
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
Neural Design of Contests and All-Pay Auctions using Multi-Agent Simulation
T Anthony, I Gemp, J Kramar, T Eccles, A Tacchetti, Y Bachrach
A Neural Network Auction For Group Decision Making Over a Continuous Space
Y Bachrach, I Gemp, M Garnelo, J Kramar, T Eccles, D Rosenbaum, ...
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Artikkelit 1–17