| 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 | 96* | 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 | 80 | 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 | 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 | 61 | 2018 |
| 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 | 51 | 2019 |
| Causal reasoning from meta-reinforcement learning I Dasgupta, J Wang, S Chiappa, J Mitrovic, P Ortega, D Raposo, ... arXiv preprint arXiv:1901.08162, 2019 | 34 | 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 | 31 | 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 | 28 | 2019 |
| 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 | 26 | 2016 |
| Evolving intrinsic motivations for altruistic behavior JX Wang, E Hughes, C Fernando, WM Czarnecki, EA Duéñez-Guzmán, ... arXiv preprint arXiv:1811.05931, 2018 | 21 | 2018 |
| Malthusian reinforcement learning JZ Leibo, J Perolat, E Hughes, S Wheelwright, AH Marblestone, ... arXiv preprint arXiv:1812.07019, 2018 | 15 | 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 | 13 | 2016 |
| 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 | 11 | 2019 |
| 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 | 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 | 7 | 2019 |
| 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 | 6 | 2020 |
| 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 | 5 | 2020 |
| 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 | 4 | 2020 |
| 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 | 3 | 2020 |
Joel Z LeiboResearch scientistVerified email at google.com
