Enrique Munoz de Cote

发表

A Polynomial-time Nash Equilibrium Algorithm for Repeated Stochastic Games

Michael L. Littman, Enrique Munoz de Cote, M. Littman, 2008, UAI.

An Exploration Strategy Facing Non-Stationary Agents

Yusen Zhan, Matthew E. Taylor, Pablo Hernandez-Leal, 2017, AAMAS.

Assessing Nitrogen Nutrition in Corn Crops with Airborne Multispectral Sensors

Luis Enrique Sucar, Enrique Munoz de Cote, Jaen Alberto Arroyo, 2017, IEA/AIE.

Diff-DAC: Distributed Actor-Critic for Average Multitask Deep Reinforcement Learning

Santiago Zazo, Sergio Valcarcel Macua, Enrique Munoz de Cote, 2017, 1710.10363.

An exploration strategy for non-stationary opponents

Yusen Zhan, Matthew E. Taylor, Pablo Hernandez-Leal, 2016, Autonomous Agents and Multi-Agent Systems.

Transfer learning by prototype generation in continuous spaces

Eduardo F. Morales, Enrique Munoz de Cote, Esteban O. Garcia, 2016, Adapt. Behav..

Differential evolution strategies for large-scale energy resource management in smart grids

Zita A. Vale, Luis Enrique Sucar, Fernando Lezama, 2017, GECCO.

A Bayesian Approach for Learning and Tracking Switching, Non-Stationary Opponents: (Extended Abstract)

Matthew E. Taylor, Pablo Hernandez-Leal, Luis Enrique Sucar, 2016, AAMAS.

Introducing Alarms in Adversarial Patrolling Games

Nicholas R. Jennings, Nicola Basilico, Enrique Munoz de Cote, 2013 .

Epsilon-First Policies for Budget-Limited Multi-Armed Bandits

Archie C. Chapman, Nicholas R. Jennings, Long Tran-Thanh, 2010, AAAI.

Transfer Learning for continuous State and Action Spaces

Eduardo F. Morales, Enrique Munoz de Cote, Esteban O. Garcia, 2014, Int. J. Pattern Recognit. Artif. Intell..

Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems

Sergio Valcarcel Macua, Enrique Munoz de Cote, David Mguni, 2019, AAMAS.

Data Alignment for Data Fusion in Wireless Multimedia Sensor Networks Based on M2M

Enrique Munoz de Cote, Saúl E. Pomares Hernández, Jose Roberto Perez Cruz, 2012, KSII Trans. Internet Inf. Syst..

A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity pdf

Pablo Hernandez-Leal, Enrique Munoz de Cote, Michael Kaisers, 2017, ArXiv.

Modeling non-stationary opponents

Pablo Hernandez-Leal, Luis Enrique Sucar, Enrique Munoz de Cote, 2013, AAMAS.

Load pattern clustering using differential evolution with Pareto Tournament

Fernando Lezama, Enrique Munoz de Cote, Ansel Y. Rodríguez González, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Decentralised Learning in Systems with Many, Many Strategic Agents pdf

Enrique Munoz de Cote, David Mguni, Joel Jennings, 2018, AAAI.

A framework for learning and planning against switching strategies in repeated games

Pablo Hernandez-Leal, Luis Enrique Sucar, Enrique Munoz de Cote, 2014, Connect. Sci..

ε-first policies for budget-limited multi-armed bandits

Archie C. Chapman, Nicholas R. Jennings, Alex Rogers, 2010, AAAI 2010.

Closed frequent similar pattern mining: Reducing the number of frequent similar patterns without information loss

Jesús Ariel Carrasco-Ochoa, Fernando Lezama, Enrique Munoz de Cote, 2018, Expert Syst. Appl..

Inducing Efficient Equilibria in Multi-Agent Systems

Sergio Valcarcel Macua, Enrique Munoz de Cote, David Mguni, 2018 .

Distributed energy procurement and management in smart environments

Luis Enrique Sucar, Enrique Munoz de Cote, Miguel A. Palacios-Alonso, 2015, 2015 IEEE First International Smart Cities Conference (ISC2).

Social reward shaping in the prisoner's dilemma

Michael L. Littman, Enrique Munoz de Cote, Monica Babes-Vroman, 2008, AAMAS.

Bidding in Non-Stationary Energy Markets

Matthew E. Taylor, Pablo Hernandez-Leal, Luis Enrique Sucar, 2015, AAMAS.

Compatible features for Monotonic Policy Improvement pdf

Sergio Valcarcel Macua, Peter Vrancx, Enrique Munoz de Cote, 2019, ArXiv.

Qualitative Transfer for Reinforcement Learning with Continuous State and Action Spaces

Eduardo F. Morales, Enrique Munoz de Cote, Esteban O. Garcia, 2013, CIARP.

Adaptive Sensor Placement for Continuous Spaces pdf

Alexis Boukouvalas, Sattar Vakili, Enrique Munoz de Cote, 2019, ICML.

Conflict Resolution in Multiagent Systems: Balancing Optimality and Learning Speed

Enrique Munoz de Cote, Enrique Succar, Saúl E. Pomares Hernández, 2012, 2012 11th Mexican International Conference on Artificial Intelligence.

Bifurcation Analysis of Reinforcement Learning Agents in the Selten's Horse Game

Alessandro Lazaric, Marcello Restelli, Enrique Munoz de Cote, 2007, Adaptive Agents and Multi-Agents Systems.

Electrical Load Pattern Shape Clustering Using Ant Colony Optimization

Luis Enrique Sucar, Fernando Lezama, Enrique Munoz de Cote, 2016, EvoApplications.

Modeling Non-Stationary Opponents (Extended Abstract)

Pablo Hernandez-Leal, Enrique Munoz de Cote, L. Enrique Sucar, 2013 .

Learning to cooperate in multi-agent social dilemmas

Alessandro Lazaric, Marcello Restelli, Enrique Munoz de Cote, 2006, AAMAS '06.

Strategic Interactions Among Agents with Bounded Rationality

Pablo Hernandez-Leal, Luis Enrique Sucar, Enrique Munoz de Cote, 2013, IJCAI.

Reinforcement learning in extensive form games with incomplete information: the bargaining case study

Alessandro Lazaric, Enrique Munoz de Cote, Nicola Gatti, 2007, AAMAS '07.

Distributed Constrained Optimization Towards Effective Agent-Based Microgrid Energy Resource Management

Zita A. Vale, Alessandro Farinelli, Fernando Lezama, 2019, EPIA.

Detecting Switches Against Non-Stationary Opponents

Yusen Zhan, Matthew E. Taylor, Pablo Hernandez-Leal, 2017, AAMAS.

Learning against non-stationary opponents

Pablo Hernandez-Leal, Enrique Munoz de Cote, L. Enrique Sucar, 2013 .

Planning against fictitious players in repeated normal form games

Nicholas R. Jennings, Enrique Munoz de Cote, N. Jennings, 2010, AAMAS.

Optimal Planning Against Bayesian Learning Opponents

Nicholas R. Jennings, Enrique Munoz de Cote, N. Jennings, 2011 .

Opponent Modeling against Non-stationary Strategies: (Doctoral Consortium)

Pablo Hernandez-Leal, Luis Enrique Sucar, Enrique Munoz de Cote, 2015, AAMAS.

Introducing alarms in adversarial patrolling games: extended abstract

Nicholas R. Jennings, Nicola Basilico, Enrique Munoz de Cote, 2013, AAMAS.

Automated Planning in Repeated Adversarial Games pdf

Archie C. Chapman, Nicholas R. Jennings, Enrique Munoz de Cote, 2010, UAI.

Identifying and Tracking Switching, Non-Stationary Opponents: A Bayesian Approach

Matthew E. Taylor, Pablo Hernandez-Leal, Luis Enrique Sucar, 2016, AAAI Workshop: Multiagent Interaction without Prior Coordination.

Efficiently detecting switches against non-stationary opponents

Yusen Zhan, Matthew E. Taylor, Pablo Hernandez-Leal, 2017, Autonomous Agents and Multi-Agent Systems.

Using a Priori Information for Fast Learning Against Non-stationary Opponents

Pablo Hernandez-Leal, Luis Enrique Sucar, Enrique Munoz de Cote, 2014, IBERAMIA.

Opponent modeling and planning against non-stationary strategies

Pablo Hernandez-Leal, Enrique Munoz de Cote, L. Enrique Sucar, 2013 .

A Distributed Algorithm for Optimising over Pure Strategy Nash Equilibria

Archie C. Chapman, Nicholas R. Jennings, Alex Rogers, 2010, AAAI.

Diff-DAC: Distributed Actor-Critic for Multitask Deep Reinforcement Learning pdf

Santiago Zazo, Sergio Valcarcel Macua, Enrique Munoz de Cote, 2017, ArXiv.

Near-optimal continuous patrolling with teams of mobile information gathering agents

Nicholas R. Jennings, Alex Rogers, Enrique Munoz de Cote, 2013, Artif. Intell..

EA2: The Winning Strategy for the Inaugural Lemonade Stand Game Tournament

Archie C. Chapman, Nicholas R. Jennings, Enrique Munoz de Cote, 2010, ECAI.

Improving Cooperation among Self-Interested Reinforcement Learning Agents

Andrea Bonarini, Alessandro Lazaric, Marcello Restelli, 2005 .

Optimal Scheduling of On/Off Cycles: A Decentralized IoT-Microgrid Approach

Alessandro Farinelli, Fernando Lezama, Enrique Munoz de Cote, 2017 .