| A lyapunov-based approach to safe reinforcement learning Y Chow, O Nachum, E Duenez-Guzman, M Ghavamzadeh Advances in neural information processing systems 31, 2018 | 590 | 2018 |
| Lyapunov-based safe policy optimization for continuous control Y Chow, O Nachum, A Faust, E Duenez-Guzman, M Ghavamzadeh arXiv preprint arXiv:1901.10031, 2019 | 274 | 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 31, 2018 | 254 | 2018 |
| Evolution of self-organized task specialization in robot swarms E Ferrante, AE Turgut, E Duéñez-Guzmán, M Dorigo, T Wenseleers PLoS computational biology 11 (8), e1004273, 2015 | 149 | 2015 |
| Evolving intrinsic motivations for altruistic behavior JX Wang, E Hughes, C Fernando, WM Czarnecki, EA Duéñez-Guzmán, ... arXiv preprint arXiv:1811.05931, 2018 | 90 | 2018 |
| 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 | 89 | 2020 |
| Dynamics of alliance formation and the egalitarian revolution S Gavrilets, EA Duenez-Guzman, MD Vose PLoS One 3 (10), e3293, 2008 | 88 | 2008 |
| Neural replicator dynamics D Hennes, D Morrill, S Omidshafiei, R Munos, J Perolat, M Lanctot, ... arXiv preprint arXiv:1906.00190, 2019 | 86* | 2019 |
| Scalable evaluation of multi-agent reinforcement learning with melting pot JZ Leibo, EA Dueñez-Guzman, A Vezhnevets, JP Agapiou, P Sunehag, ... International conference on machine learning, 6187-6199, 2021 | 83 | 2021 |
| Case studies and mathematical models of ecological speciation. 4. Hybrid speciation in butterflies in a jungle EA Duenez-Guzman, J Mavárez, MD Vose, S Gavrilets Evolution 63 (10), 2611-2626, 2009 | 66 | 2009 |
| GESwarm: Grammatical evolution for the automatic synthesis of collective behaviors in swarm robotics E Ferrante, E Duéñez-Guzmán, AE Turgut, T Wenseleers Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013 | 61 | 2013 |
| Fitness trade‐offs explain low levels of persister cells in the opportunistic pathogen Pseudomonas aeruginosa K Stepanyan, T Wenseleers, EA Duéñez‐Guzmán, F Muratori, ... Molecular Ecology 24 (7), 1572-1583, 2015 | 59 | 2015 |
| Malthusian reinforcement learning JZ Leibo, J Perolat, E Hughes, S Wheelwright, AH Marblestone, ... arXiv preprint arXiv:1812.07019, 2018 | 47 | 2018 |
| The Evolution of Reproduction-Related NLRP Genes EA Duéñez-Guzmán, D Haig Journal of molecular evolution 78 (3), 194-201, 2014 | 41 | 2014 |
| A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings E Vinitsky, R Köster, JP Agapiou, EA Duéñez-Guzmán, AS Vezhnevets, ... Collective Intelligence 2 (2), 26339137231162025, 2023 | 37 | 2023 |
| Power and corruption F Úbeda, EA Duéñez‐Guzmán Evolution 65 (4), 1127-1139, 2011 | 31 | 2011 |
| No free lunch and benchmarks EA Duénez-Guzmán, MD Vose Evolutionary Computation 21 (2), 293-312, 2013 | 27 | 2013 |
| Melting Pot 2.0 JP Agapiou, AS Vezhnevets, EA Duéñez-Guzmán, J Matyas, Y Mao, ... arXiv preprint arXiv:2211.13746, 2022 | 26 | 2022 |
| Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences R Köster, KR McKee, R Everett, L Weidinger, WS Isaac, E Hughes, ... arXiv preprint arXiv:2010.09054, 2020 | 25 | 2020 |
| Towards greater realism in inclusive fitness models: the case of worker reproduction in insect societies T Wenseleers, H Helanterä, DA Alves, E Duenez-Guzman, P Pamilo Biology Letters 9 (6), 20130334, 2013 | 24 | 2013 |
Joel Z LeiboResearch scientist在 google.com 的电子邮件经过验证
