Edward Hughes
Edward Hughes
Senior Research Engineer, DeepMind
Adresse e-mail validée de google.com - Page d'accueil
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Social influence as intrinsic motivation for multi-agent deep reinforcement learning
N Jaques, A Lazaridou, E Hughes, C Gulcehre, P Ortega, DJ Strouse, ...
International Conference on Machine Learning, 3040-3049, 2019
68*2019
The hanabi challenge: A new frontier for ai research
N Bard, JN Foerster, S Chandar, N Burch, M Lanctot, HF Song, E Parisotto, ...
Artificial Intelligence 280, 103216, 2020
51*2020
Learning to follow language instructions with adversarial reward induction
D Bahdanau, F Hill, J Leike, E Hughes, P Kohli, E Grefenstette
arXiv preprint arXiv:1806.01946, 2018
51*2018
Inequity aversion improves cooperation in intertemporal social dilemmas
E Hughes, JZ Leibo, M Phillips, K Tuyls, E Dueñez-Guzman, ...
Advances in neural information processing systems, 3326-3336, 2018
512018
Bayesian action decoder for deep multi-agent reinforcement learning
J Foerster, F Song, E Hughes, N Burch, I Dunning, S Whiteson, ...
International Conference on Machine Learning, 1942-1951, 2019
382019
The connected prescription for form factors in twistor space
A Brandhuber, E Hughes, R Panerai, B Spence, G Travaglini
Journal of High Energy Physics 2016 (11), 143, 2016
242016
Causal reasoning from meta-reinforcement learning
I Dasgupta, J Wang, S Chiappa, J Mitrovic, P Ortega, D Raposo, ...
arXiv preprint arXiv:1901.08162, 2019
182019
Evolving intrinsic motivations for altruistic behavior
JX Wang, E Hughes, C Fernando, WM Czarnecki, EA Duéñez-Guzmán, ...
arXiv preprint arXiv:1811.05931, 2018
162018
OpenSpiel: A framework for reinforcement learning in games
M Lanctot, E Lockhart, JB Lespiau, V Zambaldi, S Upadhyay, J Pérolat, ...
arXiv preprint arXiv:1908.09453, 2019
152019
Autocurricula and the emergence of innovation from social interaction: A manifesto for multi-agent intelligence research
JZ Leibo, E Hughes, M Lanctot, T Graepel
arXiv preprint arXiv:1903.00742, 2019
152019
One-loop soft theorems via dual superconformal symmetry
A Brandhuber, E Hughes, B Spence, G Travaglini
Journal of High Energy Physics 2016 (3), 84, 2016
122016
Malthusian reinforcement learning
JZ Leibo, J Perolat, E Hughes, S Wheelwright, AH Marblestone, ...
arXiv preprint arXiv:1812.07019, 2018
112018
A generalized training approach for multiagent learning
P Muller, S Omidshafiei, M Rowland, K Tuyls, J Perolat, S Liu, D Hennes, ...
arXiv preprint arXiv:1909.12823, 2019
82019
The Imitation Game: Learned Reciprocity in Markov games.
T Eccles, E Hughes, J Kramár, S Wheelwright, JZ Leibo
AAMAS, 1934-1936, 2019
7*2019
OpenSpiel: A Framework for Reinforcement Learning in Games. CoRR abs/1908.09453 (2019)
M Lanctot, E Lockhart, JB Lespiau, V Zambaldi, S Upadhyay, J Pérolat, ...
arXiv preprint cs.LG/1908.09453, 2019
62019
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
52019
Smooth markets: A basic mechanism for organizing gradient-based learners
D Balduzzi, WM Czarnecki, TW Anthony, IM Gemp, E Hughes, JZ Leibo, ...
arXiv preprint arXiv:2001.04678, 2020
42020
Bounds and dynamics for empirical game theoretic analysis
K Tuyls, J Perolat, M Lanctot, E Hughes, R Everett, JZ Leibo, ...
Autonomous Agents and Multi-Agent Systems 34 (1), 7, 2020
22020
Bose-Einstein correlations of charged hadrons in proton-proton collisions at s = 13 TeV
AM Sirunyan, A Tumasyan, W Adam, F Ambrogi, E Asilar, T Bergauer, ...
Journal of High Energy Physics 2020 (3), 1-52, 2020
22020
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
22020
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