Enrique Munoz de Cote

Publication Activity (10 Years)

Years Active: 2006-2021
Publications (10 Years): 29

Top Topics

Continuous State

Bounded Rationality

Exploration Strategy

Top Venues

Auton. Agents Multi Agent Syst.

GECCO (Companion)

Publications

Fernando Lezama, Alberto F. Martínez-Herrera, Gerardo A. Castañón, Carolina Del-Valle-Soto, Ana María Sarmiento, Enrique Munoz de Cote
Solving routing and spectrum allocation problems in flexgrid optical networks using pre-computing strategies. Photonic Netw. Commun. 41 (1) (2021)
Sergio Valcarcel Macua, Ian Davies, Aleksi Tukiainen, Enrique Munoz de Cote
Fully Distributed Actor-Critic Architecture for Multitask Deep Reinforcement Learning. CoRR (2021)
Sergio Valcarcel Macua, Ian Davies, Aleksi Tukiainen, Enrique Munoz de Cote
Fully distributed actor-critic architecture for multitask deep reinforcement learning. Knowl. Eng. Rev. 36 (2021)
Marcin B. Tomczak, Sergio Valcarcel Macua, Enrique Munoz de Cote, Peter Vrancx
Compatible features for Monotonic Policy Improvement. CoRR (2019)
James A. Grant, Alexis Boukouvalas, Ryan-Rhys Griffiths, David S. Leslie, Sattar Vakili, Enrique Munoz de Cote
Adaptive Sensor Placement for Continuous Spaces. ICML (2019)
Fernando Lezama, Jorge Palominos, Ansel Y. Rodríguez González, Alessandro Farinelli, Enrique Munoz de Cote
Agent-Based Microgrid Scheduling: An ICT Perspective. Mob. Networks Appl. 24 (5) (2019)
Fernando Lezama, Enrique Munoz de Cote, Alessandro Farinelli, João P. Soares, Tiago Pinto, Zita A. Vale
Distributed Constrained Optimization Towards Effective Agent-Based Microgrid Energy Resource Management. EPIA (1) (2019)
David Mguni, Joel Jennings, Sergio Valcarcel Macua, Emilio Sison, Sofia Ceppi, Enrique Munoz de Cote
Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems. CoRR (2019)
David Mguni, Joel Jennings, Emilio Sison, Sergio Valcarcel Macua, Sofia Ceppi, Enrique Munoz de Cote
Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems. AAMAS (2019)
James A. Grant, Alexis Boukouvalas, Ryan-Rhys Griffiths, David S. Leslie, Sattar Vakili, Enrique Munoz de Cote
Adaptive Sensor Placement for Continuous Spaces. CoRR (2019)
David Mguni, Joel Jennings, Enrique Munoz de Cote
Decentralised Learning in Systems with Many, Many Strategic Agents. CoRR (2018)
David Mguni, Joel Jennings, Enrique Munoz de Cote
Decentralised Learning in Systems With Many, Many Strategic Agents. AAAI (2018)
Ansel Y. Rodríguez González, Fernando Lezama, Carlos A. Iglesias-Alvarez, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Enrique Munoz de Cote
Closed frequent similar pattern mining: Reducing the number of frequent similar patterns without information loss. Expert Syst. Appl. 96 (2018)
Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote
Efficiently detecting switches against non-stationary opponents. Auton. Agents Multi Agent Syst. 31 (4) (2017)
Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote
An Exploration Strategy Facing Non-Stationary Agents. AAMAS (2017)
Jaen Alberto Arroyo, Cecilia Gomez-Castaneda, Elias Ruiz, Enrique Munoz de Cote, Francisco Gavi, Luis Enrique Sucar
Assessing Nitrogen Nutrition in Corn Crops with Airborne Multispectral Sensors. IEA/AIE (2) (2017)
Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote
An exploration strategy for non-stationary opponents. Auton. Agents Multi Agent Syst. 31 (5) (2017)
Pablo Hernandez-Leal, Michael Kaisers, Tim Baarslag, Enrique Munoz de Cote
A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity. CoRR (2017)
Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote
Detecting Switches Against Non-Stationary Opponents. AAMAS (2017)
Fernando Lezama, Luis Enrique Sucar, Enrique Munoz de Cote, João P. Soares, Zita A. Vale
Differential evolution strategies for large-scale energy resource management in smart grids. GECCO (Companion) (2017)
Sergio Valcarcel Macua, Aleksi Tukiainen, Daniel García-Ocaña Hernández, David Baldazo, Enrique Munoz de Cote, Santiago Zazo
Diff-DAC: Distributed Actor-Critic for Multitask Deep Reinforcement Learning. CoRR (2017)
Fernando Lezama, Ansel Y. Rodríguez González, Enrique Munoz de Cote
Load pattern clustering using differential evolution with Pareto Tournament. CEC (2016)
Pablo Hernandez-Leal, Matthew E. Taylor, Benjamin Rosman, Luis Enrique Sucar, Enrique Munoz de Cote
Identifying and Tracking Switching, Non-Stationary Opponents: A Bayesian Approach. AAAI Workshop: Multiagent Interaction without Prior Coordination (2016)
Pablo Hernandez-Leal, Benjamin Rosman, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote
A Bayesian Approach for Learning and Tracking Switching, Non-Stationary Opponents: (Extended Abstract). AAMAS (2016)
Enrique Munoz de Cote, Esteban Omar Garcia, Eduardo F. Morales
Transfer learning by prototype generation in continuous spaces. Adapt. Behav. 24 (6) (2016)
Fernando Lezama, Ansel Y. Rodríguez González, Enrique Munoz de Cote, Luis Enrique Sucar
Electrical Load Pattern Shape Clustering Using Ant Colony Optimization. EvoApplications (1) (2016)
Pablo Hernandez-Leal, Matthew E. Taylor, Enrique Munoz de Cote, Luis Enrique Sucar
Bidding in Non-Stationary Energy Markets. AAMAS (2015)
Jonathan Serrano Cuevas, Ansel Y. Rodríguez González, Miguel A. Palacios-Alonso, Enrique Munoz de Cote, Luis Enrique Sucar
Distributed energy procurement and management in smart environments. ISC2 (2015)
Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar
Opponent Modeling against Non-stationary Strategies: (Doctoral Consortium). AAMAS (2015)
Esteban Omar Garcia, Enrique Munoz de Cote, Eduardo F. Morales
Transfer Learning for continuous State and Action Spaces. Int. J. Pattern Recognit. Artif. Intell. 28 (7) (2014)
Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar
Using a Priori Information for Fast Learning Against Non-stationary Opponents. IBERAMIA (2014)
Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar
A framework for learning and planning against switching strategies in repeated games. Connect. Sci. 26 (2) (2014)
Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar
Strategic Interactions Among Agents with Bounded Rationality. IJCAI (2013)
Esteban Omar Garcia, Enrique Munoz de Cote, Eduardo F. Morales
Qualitative Transfer for Reinforcement Learning with Continuous State and Action Spaces. CIARP (1) (2013)
Ruben Stranders, Enrique Munoz de Cote, Alex Rogers, Nicholas R. Jennings
Near-optimal continuous patrolling with teams of mobile information gathering agents. Artif. Intell. 195 (2013)
Enrique Munoz de Cote, Ruben Stranders, Nicola Basilico, Nicola Gatti, Nick R. Jennings
Introducing alarms in adversarial patrolling games: extended abstract. AAMAS (2013)
Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar
Modeling non-stationary opponents. AAMAS (2013)
Aaron Rocha-Rocha, Enrique Munoz de Cote, Saúl E. Pomares Hernández, Enrique Succar
Conflict Resolution in Multiagent Systems: Balancing Optimality and Learning Speed. MICAI (Special Sessions) (2012)
Enrique Munoz de Cote, Archie C. Chapman, Adam M. Sykulski, Nicholas R. Jennings
Automated Planning in Repeated Adversarial Games CoRR (2012)
Enrique Munoz de Cote, Michael L. Littman
A Polynomial-time Nash Equilibrium Algorithm for Repeated Stochastic Games CoRR (2012)
Jose Roberto Perez Cruz, Saúl E. Pomares Hernández, Enrique Munoz de Cote
Data Alignment for Data Fusion in Wireless Multimedia Sensor Networks Based on M2M. KSII Trans. Internet Inf. Syst. 6 (1) (2012)
Archie C. Chapman, Alessandro Farinelli, Enrique Munoz de Cote, Alex Rogers, Nicholas R. Jennings
A Distributed Algorithm for Optimising over Pure Strategy Nash Equilibria. AAAI (2010)
Enrique Munoz de Cote, Archie C. Chapman, Adam M. Sykulski, Nicholas R. Jennings
Automated Planning in Repeated Adversarial Games. UAI (2010)
Adam M. Sykulski, Archie C. Chapman, Enrique Munoz de Cote, Nicholas R. Jennings
: The Winning Strategy for the Inaugural Lemonade Stand Game Tournament. ECAI (2010)
Enrique Munoz de Cote, Nicholas R. Jennings
Planning against fictitious players in repeated normal form games. AAMAS (2010)
Long Tran-Thanh, Archie C. Chapman, Enrique Munoz de Cote, Alex Rogers, Nicholas R. Jennings
Epsilon-First Policies for Budget-Limited Multi-Armed Bandits. AAAI (2010)
Enrique Munoz de Cote, Michael L. Littman
A Polynomial-time Nash Equilibrium Algorithm for Repeated Stochastic Games. UAI (2008)
Monica Babes, Enrique Munoz de Cote, Michael L. Littman
Social reward shaping in the prisoner's dilemma. AAMAS (3) (2008)
Alessandro Lazaric, Enrique Munoz de Cote, Nicola Gatti
Reinforcement learning in extensive form games with incomplete information: the bargaining case study. AAMAS (2007)
Alessandro Lazaric, Enrique Munoz de Cote, Fabio Dercole, Marcello Restelli
Bifurcation Analysis of Reinforcement Learning Agents in the Selten's Horse Game. Adaptive Agents and Multi-Agents Systems (2007)
Enrique Munoz de Cote, Alessandro Lazaric, Marcello Restelli
Learning to cooperate in multi-agent social dilemmas. AAMAS (2006)