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Enrique Munoz de Cote
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2020 – today
- 2021
- [j11]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: e6 (2021) - [j10]Fernando Lezama
Solving routing and spectrum allocation problems in flexgrid optical networks using pre-computing strategies. Photonic Netw. Commun. 41(1): 17-35 (2021) - [i9]Sergio Valcarcel Macua, Ian Davies, Aleksi Tukiainen, Enrique Munoz de Cote:
Fully Distributed Actor-Critic Architecture for Multitask Deep Reinforcement Learning. CoRR abs/2110.12306 (2021)
2010 – 2019
- 2019
- [j9]Fernando Lezama
Agent-Based Microgrid Scheduling: An ICT Perspective. Mob. Networks Appl. 24(5): 1682-1698 (2019) - [c32]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: 386-394 - [c31]Fernando Lezama
Distributed Constrained Optimization Towards Effective Agent-Based Microgrid Energy Resource Management. EPIA (1) 2019: 438-449 - [c30]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: 2385-2393 - [i8]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 abs/1901.10923 (2019) - [i7]James A. Grant, Alexis Boukouvalas, Ryan-Rhys Griffiths, David S. Leslie, Sattar Vakili, Enrique Munoz de Cote:
Adaptive Sensor Placement for Continuous Spaces. CoRR abs/1905.06821 (2019) - [i6]Marcin B. Tomczak, Sergio Valcarcel Macua, Enrique Munoz de Cote, Peter Vrancx:
Compatible features for Monotonic Policy Improvement. CoRR abs/1910.03880 (2019) - 2018
- [j8]Ansel Y. Rodríguez-González
Closed frequent similar pattern mining: Reducing the number of frequent similar patterns without information loss. Expert Syst. Appl. 96: 271-283 (2018) - [c29]David Mguni, Joel Jennings, Enrique Munoz de Cote:
Decentralised Learning in Systems With Many, Many Strategic Agents. AAAI 2018: 4686-4693 - [i5]David Mguni, Joel Jennings, Enrique Munoz de Cote:
Decentralised Learning in Systems with Many, Many Strategic Agents. CoRR abs/1803.05028 (2018) - 2017
- [j7]Pablo Hernandez-Leal
Efficiently detecting switches against non-stationary opponents. Auton. Agents Multi Agent Syst. 31(4): 767-789 (2017) - [j6]Pablo Hernandez-Leal
An exploration strategy for non-stationary opponents. Auton. Agents Multi Agent Syst. 31(5): 971-1002 (2017) - [c28]Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote:
Detecting Switches Against Non-Stationary Opponents. AAMAS 2017: 920-921 - [c27]Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote:
An Exploration Strategy Facing Non-Stationary Agents. AAMAS 2017: 922-923 - [c26]Fernando Lezama
Differential evolution strategies for large-scale energy resource management in smart grids. GECCO (Companion) 2017: 1279-1286 - [c25]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: 259-267 - [i4]Pablo Hernandez-Leal, Michael Kaisers, Tim Baarslag, Enrique Munoz de Cote:
A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity. CoRR abs/1707.09183 (2017) - [i3]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 abs/1710.10363 (2017) - 2016
- [j5]Enrique Munoz de Cote, Esteban Omar Garcia, Eduardo F. Morales
Transfer learning by prototype generation in continuous spaces. Adapt. Behav. 24(6): 464-478 (2016) - [c24]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 - [c23]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: 1315-1316 - [c22]Fernando Lezama
Load pattern clustering using differential evolution with Pareto Tournament. CEC 2016: 241-248 - [c21]Fernando Lezama
Electrical Load Pattern Shape Clustering Using Ant Colony Optimization. EvoApplications (1) 2016: 491-506 - 2015
- [c20]Pablo Hernandez-Leal, Matthew E. Taylor, Enrique Munoz de Cote, Luis Enrique Sucar:
Bidding in Non-Stationary Energy Markets. AAMAS 2015: 1709-1710 - [c19]Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar:
Opponent Modeling against Non-stationary Strategies: (Doctoral Consortium). AAMAS 2015: 1989-1990 - [c18]Jonathan Serrano Cuevas, Ansel Y. Rodríguez-González
Distributed energy procurement and management in smart environments. ISC2 2015: 1-6 - 2014
- [j4]Pablo Hernandez-Leal
A framework for learning and planning against switching strategies in repeated games. Connect. Sci. 26(2): 103-122 (2014) - [j3]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) - [c17]Pablo Hernandez-Leal
Using a Priori Information for Fast Learning Against Non-stationary Opponents. IBERAMIA 2014: 536-547 - 2013
- [j2]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: 63-105 (2013) - [c16]Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar:
Modeling non-stationary opponents. AAMAS 2013: 1135-1136 - [c15]Enrique Munoz de Cote, Ruben Stranders, Nicola Basilico, Nicola Gatti, Nick R. Jennings:
Introducing alarms in adversarial patrolling games: extended abstract. AAMAS 2013: 1275-1276 - [c14]Esteban Omar Garcia, Enrique Munoz de Cote, Eduardo F. Morales
Qualitative Transfer for Reinforcement Learning with Continuous State and Action Spaces. CIARP (1) 2013: 198-205 - [c13]Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar:
Strategic Interactions Among Agents with Bounded Rationality. IJCAI 2013: 3219-3220 - 2012
- [j1]Jose Roberto Perez Cruz
Data Alignment for Data Fusion in Wireless Multimedia Sensor Networks Based on M2M. KSII Trans. Internet Inf. Syst. 6(1): 229-240 (2012) - [c12]Aaron Rocha-Rocha, Enrique Munoz de Cote, Saúl E. Pomares Hernández
Conflict Resolution in Multiagent Systems: Balancing Optimality and Learning Speed. MICAI (Special Sessions) 2012: 32-37 - [i2]Enrique Munoz de Cote, Archie C. Chapman, Adam M. Sykulski, Nicholas R. Jennings:
Automated Planning in Repeated Adversarial Games. CoRR abs/1203.3498 (2012) - [i1]Enrique Munoz de Cote, Michael L. Littman:
A Polynomial-time Nash Equilibrium Algorithm for Repeated Stochastic Games. CoRR abs/1206.3277 (2012) - 2010
- [c11]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: 749-755 - [c10]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: 1211-1216 - [c9]Enrique Munoz de Cote, Nicholas R. Jennings:
Planning against fictitious players in repeated normal form games. AAMAS 2010: 1073-1080 - [c8]Adam M. Sykulski, Archie C. Chapman, Enrique Munoz de Cote, Nicholas R. Jennings:
EA2: The Winning Strategy for the Inaugural Lemonade Stand Game Tournament. ECAI 2010: 209-214 - [c7]Enrique Munoz de Cote, Archie C. Chapman, Adam M. Sykulski, Nicholas R. Jennings:
Automated Planning in Repeated Adversarial Games. UAI 2010: 376-383
2000 – 2009
- 2008
- [c6]Monica Babes, Enrique Munoz de Cote, Michael L. Littman:
Social reward shaping in the prisoner's dilemma. AAMAS (3) 2008: 1389-1392 - [c5]Enrique Munoz de Cote, Michael L. Littman:
A Polynomial-time Nash Equilibrium Algorithm for Repeated Stochastic Games. UAI 2008: 419-426 - 2007
- [c4]Alessandro Lazaric, Enrique Munoz de Cote, Fabio Dercole
Bifurcation Analysis of Reinforcement Learning Agents in the Selten's Horse Game. Adaptive Agents and Multi-Agents Systems 2007: 129-144 - [c3]Alessandro Lazaric, Enrique Munoz de Cote, Nicola Gatti
Reinforcement learning in extensive form games with incomplete information: the bargaining case study. AAMAS 2007: 46 - 2006
- [c2]Enrique Munoz de Cote, Alessandro Lazaric, Marcello Restelli
Learning to cooperate in multi-agent social dilemmas. AAMAS 2006: 783-785 - 2005
- [c1]Gianpaolo Cugola, Jose Enrique Munoz de Cote:
On Introducing Location Awareness in Publish-Subscribe Middleware. ICDCS Workshops 2005: 377-382
Coauthor Index
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