Edward Hughes
Edward Hughes
Senior Research Engineer, DeepMind
Dirección de correo verificada de google.com - Página principal
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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
75*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
682020
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
58*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
562018
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
442019
Causal reasoning from meta-reinforcement learning
I Dasgupta, J Wang, S Chiappa, J Mitrovic, P Ortega, D Raposo, ...
arXiv preprint arXiv:1901.08162, 2019
272019
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
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
192019
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
172019
Evolving intrinsic motivations for altruistic behavior
JX Wang, E Hughes, C Fernando, WM Czarnecki, EA Duéñez-Guzmán, ...
arXiv preprint arXiv:1811.05931, 2018
172018
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
Measurements of Production and the Structure of the Yukawa Interaction between the Higgs Boson and Top Quark in the Diphoton Decay Channel
AM Sirunyan, A Tumasyan, W Adam, F Ambrogi, T Bergauer, ...
Physical review letters 125 (6), 061801, 2020
122020
Malthusian reinforcement learning
JZ Leibo, J Perolat, E Hughes, S Wheelwright, AH Marblestone, ...
arXiv preprint arXiv:1812.07019, 2018
122018
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
92019
The Imitation Game: Learned Reciprocity in Markov games.
T Eccles, E Hughes, J Kramár, S Wheelwright, JZ Leibo
AAMAS, 1934-1936, 2019
8*2019
Measurement of electroweak production of a W boson in association with two jets in proton–proton collisions at s√= 13TeV
AM Sirunyan, A Tumasyan, W Adam, F Ambrogi, E Asilar, T Bergauer, ...
Springer Verlag (Germany), 0
8
Search for physics beyond the standard model in multilepton final states in proton-proton collisions at s = 13 TeV
AM Sirunyan, A Tumasyan, W Adam, F Ambrogi, T Bergauer, ...
Journal of High Energy Physics 2020 (3), 1-50, 2020
72020
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
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
62019
Search for dijet resonances using events with three jets in proton-proton collisions at s= 13TeV
AM Sirunyan, A Tumasyan, W Adam, F Ambrogi, T Bergauer, ...
Physics Letters B, 135448, 2020
52020
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20