Shimon Whiteson

Katja Hofmann, Shimon Whiteson, Maarten de Rijke: Balancing exploration and exploitation in listwise and pairwise online learning to rank for information retrieval. Inf. Retr. 16(1): 63-90 (2013)

Frans A. Oliehoek, Matthijs T. J. Spaan, Christopher Amato, Shimon Whiteson: Incremental Clustering and Expansion for Faster Optimal Planning in Dec-POMDPs. J. Artif. Intell. Res. (JAIR) 46: 449-509 (2013)

Katja Hofmann, Anne Schuth, Shimon Whiteson, Maarten de Rijke: Reusing historical interaction data for faster online learning to rank for IR. WSDM 2013: 183-192

Karun Rao, Shimon Whiteson: V-MAX: tempered optimism for better PAC reinforcement learning. AAMAS 2012: 375-382

Katja Hofmann, Shimon Whiteson, Maarten de Rijke: Estimating interleaved comparison outcomes from historical click data. CIKM 2012: 1779-1783

Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan: Exploiting Structure in Cooperative Bayesian Games. UAI 2012: 654-665

Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan: Exploiting Structure in Cooperative Bayesian Games. CoRR abs/1210.4886 (2012)

Rogier Koppejan, Shimon Whiteson: Neuroevolutionary reinforcement learning for generalized control of simulated helicopters. Evolutionary Intelligence 4(4): 219-241 (2011)

Harm van Seijen, Shimon Whiteson, Hado van Hasselt, Marco Wiering: Exploiting Best-Match Equations for Efficient Reinforcement Learning. Journal of Machine Learning Research 12: 2045-2094 (2011)

Shimon Whiteson, Michael L. Littman: Introduction to the special issue on empirical evaluations in reinforcement learning. Machine Learning 84(1-2): 1-6 (2011)

Katja Hofmann, Shimon Whiteson, Maarten de Rijke: A probabilistic method for inferring preferences from clicks. CIKM 2011: 249-258

Katja Hofmann, Shimon Whiteson, Maarten de Rijke: Balancing Exploration and Exploitation in Learning to Rank Online. ECIR 2011: 251-263

Matthijs Snel, Shimon Whiteson: Multi-Task Reinforcement Learning: Shaping and Feature Selection. EWRL 2011: 237-248

Steijn Kistemaker, Shimon Whiteson: Critical factors in the performance of novelty search. GECCO 2011: 965-972

Katja Hofmann, Shimon Whiteson, Maarten de Rijke: Adapting Rankers Online. IRFC 2011: 1-2

Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan: Exploiting Agent and Type Independence in Collaborative Graphical Bayesian Games. CoRR abs/1108.0404 (2011)

Shimon Whiteson: Adaptive Representations for Reinforcement Learning. Studies in Computational Intelligence 291, Springer 2010, isbn 978-3-642-13931-4, pp. 1-104

Shimon Whiteson, Matthew E. Taylor, Peter Stone: Critical factors in the empirical performance of temporal difference and evolutionary methods for reinforcement learning. Autonomous Agents and Multi-Agent Systems 21(1): 1-35 (2010)

Shimon Whiteson, Brian Tanner, Adam M. White: Report on the 2008 Reinforcement Learning Competition. AI Magazine 31(2): 81-94 (2010)

Matthijs Snel, Shimon Whiteson: Multi-task evolutionary shaping without pre-specified representations. GECCO 2010: 1031-1038

Harm van Seijen, Shimon Whiteson, Leon Kester: Switching between Representations in Reinforcement Learning. Interactive Collaborative Information Systems 2010: 65-84

Bram Bakker, Shimon Whiteson, Leon Kester, Frans C. A. Groen: Traffic Light Control by Multiagent Reinforcement Learning Systems. Interactive Collaborative Information Systems 2010: 475-510

Shimon Whiteson, Daniel Whiteson: Machine learning for event selection in high energy physics. Eng. Appl. of AI 22(8): 1203-1217 (2009)

Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan: Lossless clustering of histories in decentralized POMDPs. AAMAS (1) 2009: 577-584

Rogier Koppejan, Shimon Whiteson: Neuroevolutionary reinforcement learning for generalized helicopter control. GECCO 2009: 145-152

Mark Kroon, Shimon Whiteson: Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs. ICMLA 2009: 324-330

Harm van Seijen, Shimon Whiteson: Postponed Updates for Temporal-Difference Reinforcement Learning. ISDA 2009: 665-672

Frans A. Oliehoek, Matthijs T. J. Spaan, Shimon Whiteson, Nikos A. Vlassis: Exploiting locality of interaction in factored Dec-POMDPs. AAMAS (1) 2008: 517-524

Lior Kuyer, Shimon Whiteson, Bram Bakker, Nikos A. Vlassis: Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs. ECML/PKDD (1) 2008: 656-671

Shimon Whiteson, Matthew E. Taylor, Peter Stone: Empirical Studies in Action Selection with Reinforcement Learning. Adaptive Behaviour 15(1): 33-50 (2007)

Matthew E. Taylor, Shimon Whiteson, Peter Stone: Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison. AAAI 2007: 1675-1678

Shimon Whiteson, Daniel Whiteson: Stochastic Optimization for Collision Selection in High Energy Physics. AAAI 2007: 1819-1825

Matthew E. Taylor, Shimon Whiteson, Peter Stone: Transfer via inter-task mappings in policy search reinforcement learning. AAMAS 2007: 37

Shimon Whiteson, Peter Stone: Evolutionary Function Approximation for Reinforcement Learning. Journal of Machine Learning Research 7: 877-917 (2006)

Shimon Whiteson, Peter Stone: Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning. AAAI 2006: 518-523

Matthew E. Taylor, Shimon Whiteson, Peter Stone: Comparing evolutionary and temporal difference methods in a reinforcement learning domain. GECCO 2006: 1321-1328

Shimon Whiteson, Peter Stone: On-line evolutionary computation for reinforcement learning in stochastic domains. GECCO 2006: 1577-1584

Shimon Whiteson, Nate Kohl, Risto Miikkulainen, Peter Stone: Evolving Soccer Keepaway Players Through Task Decomposition. Machine Learning 59(1-2): 5-30 (2005)

Shimon Whiteson: Improving Reinforcement Learning Function Approximators via Neuroevolution. AAAI 2005: 1666-1667

Shimon Whiteson: Improving reinforcement learning function approximators via neuroevolution. AAMAS 2005: 1386

Shimon Whiteson, Peter Stone, Kenneth O. Stanley, Risto Miikkulainen, Nate Kohl: Automatic feature selection in neuroevolution. GECCO 2005: 1225-1232

Shimon Whiteson, Peter Stone: Towards Autonomic Computing: Adaptive Job Routing and Scheduling. AAAI 2004: 916-922

Shimon Whiteson, Peter Stone: Towards Autonomic Computing: Adaptive Network Routing and Scheduling. ICAC 2004: 286-287

Shimon Whiteson, Peter Stone: Concurrent layered learning. AAMAS 2003: 193-200

Shimon Whiteson, Nate Kohl, Risto Miikkulainen, Peter Stone: Evolving Keepaway Soccer Players through Task Decomposition. GECCO 2003: 356-368