Enrique Munoz de Cote

52 papers A* 5A 14B 1Journal 21Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Single-Stage Causal Incentive Design via Optimal Interventions. Entropy Sebastián Bejos, Eduardo F. Morales, Luis Enrique Sucar, Enrique Munoz de Cote
2021	J	`jnl`	Fully Distributed Actor-Critic Architecture for Multitask Deep Reinforcement Learning. CoRR Sergio Valcarcel Macua, Ian Davies, Aleksi Tukiainen, Enrique Munoz de Cote
2021	J	`jnl`	Fully distributed actor-critic architecture for multitask deep reinforcement learning. Knowl. Eng. Rev. Sergio Valcarcel Macua, Ian Davies, Aleksi Tukiainen, Enrique Munoz de Cote
2021	J	`jnl`	Solving routing and spectrum allocation problems in flexgrid optical networks using pre-computing strategies. Photonic Netw. Commun. Fernando Lezama, Alberto F. Martínez-Herrera, Gerardo A. Castañón, Carolina Del-Valle-Soto, Ana María Sarmiento, Enrique Munoz de Cote
2019	A*	`conf`	Adaptive Sensor Placement for Continuous Spaces. ICML James A. Grant, Alexis Boukouvalas, Ryan-Rhys Griffiths, David S. Leslie, Sattar Vakili, Enrique Munoz de Cote
2019	J	`jnl`	Adaptive Sensor Placement for Continuous Spaces. CoRR James A. Grant, Alexis Boukouvalas, Ryan-Rhys Griffiths, David S. Leslie, Sattar Vakili, Enrique Munoz de Cote
2019	J	`jnl`	Agent-Based Microgrid Scheduling: An ICT Perspective. Mob. Networks Appl. Fernando Lezama, Jorge Palominos, Ansel Y. Rodríguez-González, Alessandro Farinelli, Enrique Munoz de Cote
2019	J	`jnl`	Compatible features for Monotonic Policy Improvement. CoRR Marcin B. Tomczak, Sergio Valcarcel Macua, Enrique Munoz de Cote, Peter Vrancx
2019	A	`conf`	Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems. AAMAS David Mguni, Joel Jennings, Emilio Sison, Sergio Valcarcel Macua, Sofia Ceppi, Enrique Munoz de Cote
2019	J	`jnl`	Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems. CoRR David Mguni, Joel Jennings, Sergio Valcarcel Macua, Emilio Sison, Sofia Ceppi, Enrique Munoz de Cote
2019	—	`conf`	Distributed Constrained Optimization Towards Effective Agent-Based Microgrid Energy Resource Management. EPIA (1) Fernando Lezama, Enrique Munoz de Cote, Alessandro Farinelli, João P. Soares, Tiago Pinto, Zita A. Vale
2018	J	`jnl`	Closed frequent similar pattern mining: Reducing the number of frequent similar patterns without information loss. Expert Syst. Appl. Ansel Y. Rodríguez-González, Fernando Lezama, Carlos A. Iglesias-Alvarez, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Enrique Munoz de Cote
2018	A*	`conf`	Decentralised Learning in Systems With Many, Many Strategic Agents. AAAI David Mguni, Joel Jennings, Enrique Munoz de Cote
2018	J	`jnl`	Decentralised Learning in Systems with Many, Many Strategic Agents. CoRR David Mguni, Joel Jennings, Enrique Munoz de Cote
2017	J	`jnl`	A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity. CoRR Pablo Hernandez-Leal, Michael Kaisers, Tim Baarslag, Enrique Munoz de Cote
2017	A	`conf`	An Exploration Strategy Facing Non-Stationary Agents. AAMAS Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote
2017	J	`jnl`	An exploration strategy for non-stationary opponents. Auton. Agents Multi Agent Syst. Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote
2017	—	`conf`	Assessing Nitrogen Nutrition in Corn Crops with Airborne Multispectral Sensors. IEA/AIE (2) Jaen Alberto Arroyo, Cecilia Gomez-Castaneda, Elias Ruiz, Enrique Munoz de Cote, Francisco Gavi, Luis Enrique Sucar
2017	A	`conf`	Detecting Switches Against Non-Stationary Opponents. AAMAS Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote
2017	J	`jnl`	Diff-DAC: Distributed Actor-Critic for Multitask Deep Reinforcement Learning. CoRR Sergio Valcarcel Macua, Aleksi Tukiainen, Daniel García-Ocaña Hernández, David Baldazo, Enrique Munoz de Cote, Santiago Zazo
2017	—	`conf`	Differential evolution strategies for large-scale energy resource management in smart grids. GECCO (Companion) Fernando Lezama, Luis Enrique Sucar, Enrique Munoz de Cote, João P. Soares, Zita A. Vale
2017	J	`jnl`	Efficiently detecting switches against non-stationary opponents. Auton. Agents Multi Agent Syst. Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote
2016	A	`conf`	A Bayesian Approach for Learning and Tracking Switching, Non-Stationary Opponents: (Extended Abstract). AAMAS Pablo Hernandez-Leal, Benjamin Rosman, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote
2016	—	`conf`	Electrical Load Pattern Shape Clustering Using Ant Colony Optimization. EvoApplications (1) Fernando Lezama, Ansel Y. Rodríguez-González, Enrique Munoz de Cote, Luis Enrique Sucar
2016	—	`conf`	Identifying and Tracking Switching, Non-Stationary Opponents: A Bayesian Approach. AAAI Workshop: Multiagent Interaction without Prior Coordination Pablo Hernandez-Leal, Matthew E. Taylor, Benjamin Rosman, Luis Enrique Sucar, Enrique Munoz de Cote
2016	B	`conf`	Load pattern clustering using differential evolution with Pareto Tournament. CEC Fernando Lezama, Ansel Y. Rodríguez-González, Enrique Munoz de Cote
2016	J	`jnl`	Transfer learning by prototype generation in continuous spaces. Adapt. Behav. Enrique Munoz de Cote, Esteban Omar Garcia, Eduardo F. Morales
2015	A	`conf`	Bidding in Non-Stationary Energy Markets. AAMAS Pablo Hernandez-Leal, Matthew E. Taylor, Enrique Munoz de Cote, Luis Enrique Sucar
2015	—	`conf`	Distributed energy procurement and management in smart environments. ISC2 Jonathan Serrano Cuevas, Ansel Y. Rodríguez-González, Miguel A. Palacios-Alonso, Enrique Munoz de Cote, Luis Enrique Sucar
2015	A	`conf`	Opponent Modeling against Non-stationary Strategies: (Doctoral Consortium). AAMAS Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar
2014	J	`jnl`	A framework for learning and planning against switching strategies in repeated games. Connect. Sci. Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar
2014	J	`jnl`	Transfer Learning for continuous State and Action Spaces. Int. J. Pattern Recognit. Artif. Intell. Esteban Omar Garcia, Enrique Munoz de Cote, Eduardo F. Morales
2014	—	`conf`	Using a Priori Information for Fast Learning Against Non-stationary Opponents. IBERAMIA Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar
2013	A	`conf`	Introducing alarms in adversarial patrolling games: extended abstract. AAMAS Enrique Munoz de Cote, Ruben Stranders, Nicola Basilico, Nicola Gatti, Nick R. Jennings
2013	A	`conf`	Modeling non-stationary opponents. AAMAS Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar
2013	J	`jnl`	Near-optimal continuous patrolling with teams of mobile information gathering agents. Artif. Intell. Ruben Stranders, Enrique Munoz de Cote, Alex Rogers, Nicholas R. Jennings
2013	—	`conf`	Qualitative Transfer for Reinforcement Learning with Continuous State and Action Spaces. CIARP (1) Esteban Omar Garcia, Enrique Munoz de Cote, Eduardo F. Morales
2013	A*	`conf`	Strategic Interactions Among Agents with Bounded Rationality. IJCAI Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar
2012	J	`jnl`	A Polynomial-time Nash Equilibrium Algorithm for Repeated Stochastic Games CoRR Enrique Munoz de Cote, Michael L. Littman
2012	J	`jnl`	Automated Planning in Repeated Adversarial Games CoRR Enrique Munoz de Cote, Archie C. Chapman, Adam M. Sykulski, Nicholas R. Jennings
2012	—	`conf`	Conflict Resolution in Multiagent Systems: Balancing Optimality and Learning Speed. MICAI (Special Sessions) Aaron Rocha-Rocha, Enrique Munoz de Cote, Saúl E. Pomares Hernández, Enrique Succar
2012	J	`jnl`	Data Alignment for Data Fusion in Wireless Multimedia Sensor Networks Based on M2M. KSII Trans. Internet Inf. Syst. Jose Roberto Perez Cruz, Saúl E. Pomares Hernández, Enrique Munoz de Cote
2010	A*	`conf`	A Distributed Algorithm for Optimising over Pure Strategy Nash Equilibria. AAAI Archie C. Chapman, Alessandro Farinelli, Enrique Munoz de Cote, Alex Rogers, Nicholas R. Jennings
2010	A	`conf`	Automated Planning in Repeated Adversarial Games. UAI Enrique Munoz de Cote, Archie C. Chapman, Adam M. Sykulski, Nicholas R. Jennings
2010	A	`conf`	EA ECAI Adam M. Sykulski, Archie C. Chapman, Enrique Munoz de Cote, Nicholas R. Jennings
2010	A*	`conf`	Epsilon-First Policies for Budget-Limited Multi-Armed Bandits. AAAI Long Tran-Thanh, Archie C. Chapman, Enrique Munoz de Cote, Alex Rogers, Nicholas R. Jennings
2010	A	`conf`	Planning against fictitious players in repeated normal form games. AAMAS Enrique Munoz de Cote, Nicholas R. Jennings
2008	A	`conf`	A Polynomial-time Nash Equilibrium Algorithm for Repeated Stochastic Games. UAI Enrique Munoz de Cote, Michael L. Littman
2008	—	`conf`	Social reward shaping in the prisoner's dilemma. AAMAS (3) Monica Babes, Enrique Munoz de Cote, Michael L. Littman
2007	—	`conf`	Bifurcation Analysis of Reinforcement Learning Agents in the Selten's Horse Game. Adaptive Agents and Multi-Agents Systems Alessandro Lazaric, Enrique Munoz de Cote, Fabio Dercole, Marcello Restelli
2007	A	`conf`	Reinforcement learning in extensive form games with incomplete information: the bargaining case study. AAMAS Alessandro Lazaric, Enrique Munoz de Cote, Nicola Gatti
2006	A	`conf`	Learning to cooperate in multi-agent social dilemmas. AAMAS Enrique Munoz de Cote, Alessandro Lazaric, Marcello Restelli