Edward Hughes
Edward Hughes
Staff Research Engineer, DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
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
97*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
812020
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
64*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
612018
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
522019
Causal reasoning from meta-reinforcement learning
I Dasgupta, J Wang, S Chiappa, J Mitrovic, P Ortega, D Raposo, ...
arXiv preprint arXiv:1901.08162, 2019
342019
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
312019
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
282019
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
262016
Evolving intrinsic motivations for altruistic behavior
JX Wang, E Hughes, C Fernando, WM Czarnecki, EA Duéñez-Guzmán, ...
arXiv preprint arXiv:1811.05931, 2018
212018
Malthusian reinforcement learning
JZ Leibo, J Perolat, E Hughes, S Wheelwright, AH Marblestone, ...
arXiv preprint arXiv:1812.07019, 2018
152018
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
132016
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
112019
The Imitation Game: Learned Reciprocity in Markov games.
T Eccles, E Hughes, J Kramár, S Wheelwright, JZ Leibo
AAMAS, 1934-1936, 2019
10*2019
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
72019
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
72019
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
62020
Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning
KR McKee, I Gemp, B McWilliams, EA Duéñez-Guzmán, E Hughes, ...
arXiv preprint arXiv:2002.02325, 2020
52020
Studies of Charm Quark Diffusion inside Jets Using Pb-Pb and Collisions at
AM Sirunyan, A Tumasyan, W Adam, F Ambrogi, E Asilar, T Bergauer, ...
Physical review letters 125 (10), 102001, 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
32020
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Articles 1–20