| 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 | 197 | 2017 |
| Epsilon–first policies for budget–limited multi-armed bandits L Tran-Thanh, A Chapman, EM De Cote, A Rogers, NR Jennings Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010 | 139 | 2010 |
| Social reward shaping in the prisoner’s dilemma (short paper) M Babes, EM De Cote, ML Littman Proc. of AAMAS, 2008 | 72 | 2008 |
| On introducing location awareness in publish-subscribe middleware G Cugola, JEM de Cote 25th IEEE International Conference on Distributed Computing Systems …, 2005 | 68 | 2005 |
| Decentralised learning in systems with many, many strategic agents D Mguni, J Jennings, EM de Cote Thirty-second AAAI conference on artificial intelligence, 2018 | 49 | 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 | 48 | 2006 |
| A polynomial-time Nash equilibrium algorithm for repeated stochastic games EM De Cote, ML Littman arXiv preprint arXiv:1206.3277, 2012 | 44 | 2012 |
| 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 | 41 | 2013 |
| Introducing alarms in adversarial patrolling games EM de Cote, R Stranders, N Basilico, N Gatti, NR Jennings AAMAS, 1275-1276, 2013 | 37 | 2013 |
| 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 | 36 | 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 (4), 767-789, 2017 | 35 | 2017 |
| Identifying and tracking switching, non-stationary opponents: A Bayesian approach P Hernandez-Leal, ME Taylor, B Rosman, LE Sucar, EM De Cote Workshops at the Thirtieth AAAI Conference on Artificial Intelligence, 2016 | 27 | 2016 |
| 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 | 26 | 2019 |
| 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 | 22 | 2019 |
| 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 | 22 | 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, 2017 | 19 | 2017 |
| Planning against fictitious players in repeated normal form games. EM De Cote, NR Jennings AAMAS, 1073-1080, 2010 | 18 | 2010 |
| EA2: The Winning Strategy for the Inaugural Lemonade Stand Game Tournament. AM Sykulski, AC Chapman, EM De Cote, NR Jennings ECAI, 209-214, 2010 | 17 | 2010 |
| Closed frequent similar pattern mining: Reducing the number of frequent similar patterns without information loss AY Rodríguez-González, F Lezama, CA Iglesias-Alvarez, ... Expert Systems with Applications 96, 271-283, 2018 | 16 | 2018 |
| 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 | 16 | 2017 |
Luis Enrique SucarSenior Research Scientist, INAOE, MexicoVerified email at inaoep.mx
