| A survey of learning in multiagent environments: Dealing with non-stationarity P Hernandez-Leal, M Kaisers, T Baarslag, EM De Cote arXiv preprint arXiv:1707.09183, 2017 | 366 | 2017 |
| Social reward shaping in the prisoner's dilemma M Babes, E Munoz de Cote, ML Littman | 235 | 2008 |
| Epsilon–first policies for budget–limited multi-armed bandits L Tran-Thanh, A Chapman, EM De Cote, A Rogers, NR Jennings Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 1211-1216, 2010 | 190 | 2010 |
| Decentralised learning in systems with many, many strategic agents D Mguni, J Jennings, EM de Cote Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 83 | 2018 |
| Learning to cooperate in multi-agent social dilemmas EM de Cote, A Lazaric, M Restelli Proceedings of the fifth international joint conference on Autonomous agents …, 2006 | 72 | 2006 |
| On introducing location awareness in publish-subscribe middleware G Cugola, JEM de Cote 25th IEEE International Conference on Distributed Computing Systems …, 2005 | 72 | 2005 |
| Near-optimal continuous patrolling with teams of mobile information gathering agents R Stranders, EM De Cote, A Rogers, NR Jennings Artificial intelligence 195, 63-105, 2013 | 54 | 2013 |
| Coordinating the crowd: Inducing desirable equilibria in non-cooperative systems D Mguni, J Jennings, SV Macua, E Sison, S Ceppi, EM De Cote arXiv preprint arXiv:1901.10923, 2019 | 53 | 2019 |
| A polynomial-time Nash equilibrium algorithm for repeated stochastic games EM De Cote, ML Littman arXiv preprint arXiv:1206.3277, 2012 | 51 | 2012 |
| Differential evolution strategies for large-scale energy resource management in smart grids F Lezama, LE Sucar, EM de Cote, J Soares, Z Vale Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 49 | 2017 |
| Efficiently detecting switches against non-stationary opponents P Hernandez-Leal, Y Zhan, ME Taylor, LE Sucar, E Munoz de Cote Autonomous Agents and Multi-Agent Systems 31, 767-789, 2017 | 45 | 2017 |
| Agent-based microgrid scheduling: An ICT perspective F Lezama, J Palominos, AY Rodríguez-González, A Farinelli, ... Mobile Networks and Applications 24 (5), 1682-1698, 2019 | 42 | 2019 |
| Identifying and tracking switching, non-stationary opponents: A Bayesian approach P Hernandez-Leal, ME Taylor, BS Rosman, LE Sucar, E Munoz de Cote Association for the Advancement of Artificial Intelligence (AAAI), 2016 | 39 | 2016 |
| Introducing alarms in adversarial patrolling games EM de Cote, R Stranders, N Basilico, N Gatti, NR Jennings AAMAS, 1275-1276, 2013 | 39 | 2013 |
| UAV technology and machine learning techniques applied to the yield improvement in precision agriculture JA Arroyo, C Gomez-Castaneda, E Ruiz, EM de Cote, F Gavi, LE Sucar 2017 IEEE Mexican humanitarian technology conference (MHTC), 137-143, 2017 | 29 | 2017 |
| A framework for learning and planning against switching strategies in repeated games P Hernandez-Leal, E Munoz de Cote, LE Sucar Connection Science 26 (2), 103-122, 2014 | 27 | 2014 |
| Diff-dac: Distributed actor-critic for multitask deep reinforcement learning SV Macua, A Tukiainen, DGO Hernández, D Baldazo, EM de Cote, ... arXiv preprint arXiv:1710.10363 1, 2017 | 26 | 2017 |
| Diff-DAC: Distributed actor-critic for average multitask deep reinforcement learning SV Macua, A Tukiainen, DGO Hernández, D Baldazo, EM de Cote, ... arXiv preprint arXiv:1710.10363, 2017 | 25 | 2017 |
| A Bayesian approach for learning and tracking switching, non-stationary opponents P Hernandez-Leal, B Rosman, ME Taylor, LE Sucar, E Munoz de Cote Proceedings of the 2016 international conference on autonomous agents …, 2016 | 25 | 2016 |
| An exploration strategy for non-stationary opponents P Hernandez-Leal, Y Zhan, ME Taylor, LE Sucar, E Munoz de Cote Autonomous Agents and Multi-Agent Systems 31, 971-1002, 2017 | 23 | 2017 |
Luis Enrique SucarSenior Research Scientist, INAOE, MexicoVerified email at inaoep.mx