Edward Hughes
Edward Hughes
Senior Research Engineer, DeepMind
Verified email at google.com - Homepage
TitleCited byYear
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning
N Jaques, A Lazaridou, E Hughes, C Gulcehre, P Ortega, D Strouse, ...
International Conference on Machine Learning, 3040-3049, 2019
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
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
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
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
Bayesian action decoder for deep multi-agent reinforcement learning
JN Foerster, F Song, E Hughes, N Burch, I Dunning, S Whiteson, ...
arXiv preprint arXiv:1811.01458, 2018
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
Causal reasoning from meta-reinforcement learning
I Dasgupta, J Wang, S Chiappa, J Mitrovic, P Ortega, D Raposo, ...
arXiv preprint arXiv:1901.08162, 2019
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
Malthusian reinforcement learning
JZ Leibo, J Perolat, E Hughes, S Wheelwright, AH Marblestone, ...
Proceedings of the 18th International Conference on Autonomous Agents and …, 2019
Evolving intrinsic motivations for altruistic behavior
JX Wang, E Hughes, C Fernando, WM Czarnecki, EA Duéñez-Guzmán, ...
Proceedings of the 18th International Conference on Autonomous Agents and …, 2019
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
The Imitation Game: Learned Reciprocity in Markov games
T Eccles, E Hughes, J Kramár, S Wheelwright, JZ Leibo
Proceedings of the 18th International Conference on Autonomous Agents and …, 2019
Performance of the ATLAS trigger system in 2010
MS Alam, J Ernst, V Rojo, S Bahinipati, NJ Buchanan, K Chan, L Chen, ...
The European Physical Journal C-Particles and Fields 72 (1), 1-61, 2012
Comparing proton momentum distributions in nuclei via He and H measurements
R Cruz-Torres, S Li, F Hauenstein, A Schmidt, D Abrams, H Albataineh, ...
arXiv preprint arXiv:1902.06358, 2019
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
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
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
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, ...
The 2018 Conference on Artificial Life: A Hybrid of the European Conference …, 2019
Search for the pair production of light top squarks in the e± μ∓ final state in proton-proton collisions at TeV
AM Sirunyan, A Tumasyan, W Adam, F Ambrogi, E Asilar, T Bergauer, ...
Journal of High Energy Physics 2019 (3), 101, 2019
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