Shimon Whiteson's Publications

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Classified by Publication Type

• Books • Book Chapters • Journal Articles • Conference Papers • Workshop and Short Papers • Technical Reports • Dissertations •

Books

• Shimon Whiteson. Adaptive Representations for Reinforcement Learning, Studies in Computational Intelligence, Springer, Berlin, Germany, 2010.
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Book Chapters

• Shimon Whiteson. Evolutionary Computation for Reinforcement Learning. In Marco Wiering and Martijn van Otterlo, editors, Reinforcement Learning: State of the Art, pp. 325–358, Springer, Berlin, Germany, 2012.
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• Bram Bakker, Shimon Whiteson, Leon Kester, and Frans Groen. Traffic Light Control by Multiagent Reinforcement Learning Systems. In Robert Babuska and Frans Groen, editors, Interactive Collaborative Information Systems, Studies in Computational Intelligence, pp. 475–510, Springer, Berlin, Germany, 2010.
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• Harm van Seijen, Shimon Whiteson, and Leon Kester. Switching between Representations in Reinforcement Learning. In Robert Babuska and Frans Groen, editors, Interactive Collaborative Information Systems, Studies in Computational Intelligence, pp. 65–84, Springer, Berlin, Germany, 2010.
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Journal Articles

• Katja Hofmann, Shimon Whiteson, and Maarten de Rijke. Fidelity, Soundness, and Efficiency of Interleaved Comparison Methods. Transactions on Information Systems, 2013. To appear.
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• Katja Hofmann, Shimon Whiteson, and Maarten de Rijke. Balancing Exploration and Exploitation in Listwise and Pairwise Online Learning to Rank for Information Retrieval. Information Retrieval, 16(1):63–90, 2013.
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• Frans Oliehoek, Matthijs Spaan, Christopher Amato, and Shimon Whiteson. Incremental Clustering and Expansion for Faster Optimal Planning in Decentralized POMDPs. Journal of Artificial Intelligence Research, 46:449–509, 2013.
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• Rogier Koppejan and Shimon Whiteson. Neuroevolutionary Reinforcement Learning for Generalized Control of Simulated Helicopters. Evolutionary Intelligence, 4:219–241, 2011.
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• Harm van Seijen, Shimon Whiteson, Hado van Hasselt, and Marco Wiering. Exploiting Best-Match Equations for Efficient Reinforcement Learning. Journal of Machine Learning Research, 12:2045–2094, 2011.
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• Shimon Whiteson and Michael L. Littman. Introduction to the Special Issue on Empirical Evaluations in Reinforcement Learning. Machine Learning, 84(1):1–6, 2011.
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• Shimon Whiteson, Brian Tanner, and Adam White. The Reinforcement Learning Competitions. AI Magazine, 31(2):81–94, 2010.
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• Shimon Whiteson, Matthew E. Taylor, and 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):1–27, 2010.
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• Shimon Whiteson and Daniel Whiteson. Machine Learning for Event Selection in High Energy Physics. Engineering Applications of Artificial Intelligence, 22:1203–1217, 2009.
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• Aaltonen et al. (including Shimon Whiteson). Measurement of the Top Quark Mass with Dilepton Events Selected using Neuroevolution at CDF. Physical Review Letters, 102(15):2001, 2009.
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• Shimon Whiteson, Matthew E. Taylor, and Peter Stone. Empirical Studies in Action Selection with Reinforcement Learning. Adaptive Behavior, 15(1):33–50, 2007.
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• Shimon Whiteson and Peter Stone. Evolutionary Function Approximation for Reinforcement Learning. Journal of Machine Learning Research, 7:877–917, 2006.
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• Shimon Whiteson, Nate Kohl, Risto Miikkulainen, and Peter Stone. Evolving Keepaway Soccer Players through Task Decomposition. Machine Learning, 59(1):5–30, 2005.
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• Shimon Whiteson and Peter Stone. Adaptive Job Routing and Scheduling. Engineering Applications of Artificial Intelligence, 17(7):855–869, 2004.
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Conference Papers

• Thomas van den Berg and Shimon Whiteson. Critical Factors in the Performance of HyperNEAT. In GECCO 2013: Proceedings of the Genetic and Evolutionary Computation Conference, July 2013. To appear.
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• Katja Hofmann, Anne Schuth, Shimon Whiteson, and Maarten de Rijke. Reusing Historical Interaction Data for Faster Online Learning to Rank for IR. In WSDM 2013: Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, pp. 183–192, February 2013.
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• Guangliang LI, Hayley Hung, Shimon Whiteson, and W. Bradley Knox. Using Informative Behavior to Increase Engagement in the TAMER Framework. In AAMAS 2013: Proceedings of the Twelfth International Joint Conference on Autonomous Agents and Multi-Agent Systems, pp. 909–916, May 2013.
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• Frans Oliehoek, Shimon Whiteson, and Matthijs Spaan. Approximate Solutions for Factored Dec-POMDPs with Many Agents. In AAMAS 2013: Proceedings of the Twelfth International Joint Conference on Autonomous Agents and Multi-Agent Systems, pp. 563–570, May 2013.
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• Frans Oliehoek, Shimon Whiteson, and Matthijs Spaan. Exploiting Structure in Cooperative Bayesian Games. In UAI 2012: Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, pp. 654–664, August 2012.
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• Karun Rao and Shimon Whiteson. V-MAX: Tempered Optimism for Better PAC Reinforcement Learning. In AAMAS 2012: Proceedings of the Eleventh International Joint Conference on Autonomous Agents and Multi-Agent Systems, pp. 375–382, June 2012.
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• Katja Hofmann, Shimon Whiteson, and Maarten de Rijke. A Probabilistic Method for Inferring Preferences from Clicks. In CIKM 2011: Proceedings of the Twentieth Conference on Information and Knowledge Management, pp. 249–258, October 2011.
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• Katja Hofmann, Shimon Whiteson, and Maarten de Rijke. Balancing Exploration and Exploitation in Learning to Rank Online. In ECIR 2011: Proceedings of the Thirty-Third European Conference on Information Retrieval, pp. 251–263, April 2011.
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• Steijn Kistemaker and Shimon Whiteson. Critical Factors in the Performance of Novelty Search. In GECCO 2011: Proceedings of the Genetic and Evolutionary Computation Conference, pp. 965–972, July 2011.
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• Matthijs Snel, Shimon Whiteson, and Yasuo Kuniyoshi. Robust Central Pattern Generators for Embodied Hierarchical Reinforcement Learning. In ICDL-EpiRob 2011: Proceedings of the First Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, pp. 1–6, August 2011.
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• Shimon Whiteson, Brian Tanner, Matthew E. Taylor, and Peter Stone. Protecting Against Evaluation Overfitting in Empirical Reinforcement Learning. In ADPRL 2011: Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, pp. 120–127, April 2011.
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• Matthijs Snel and Shimon Whiteson. Multi-Task Evolutionary Shaping Without Pre-Specified Representations. In GECCO 2010: Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1031–1038, July 2010.
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• Corrado Grappiolo, Shimon Whiteson, Gregor Pavlin, and Bram Bakker. Integrating Distributed Bayesian Inference and Reinforcement Learning for Sensor Management. In FUSION 2009: Proceedings of the Twelfth International Conference on Information Fusion, pp. 93–101, July 2009.
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• Rogier Koppejan and Shimon Whiteson. Neuroevolutionary Reinforcement Learning for Generalized Helicopter Control. In GECCO 2009: Proceedings of the Genetic and Evolutionary Computation Conference, pp. 145–152, July 2009.
  Details     Download: [pdf] (145.0kB )  


• Mark Kroon and Shimon Whiteson. Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs. In ICMLA 2009: Proceedings of the Eighth International Conference on Machine Learning and Applications, pp. 324–330, December 2009.
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• Frans Oliehoek, Shimon Whiteson, and Matthijs Spaan. Lossless Clustering of Histories in Decentralized POMDPs. In AAMAS 2009: Proceedings of the Eighth International Joint Conference on Autonomous Agents and Multi-Agent Systems, pp. 577–584, May 2009.
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• Harm van Seijen and Shimon Whiteson. Postponed Updates for Temporal-Difference Reinforcement Learning. In ISDA 2009: Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, pp. 665–672, November 2009.
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• Harm van Seijen, Hado van Hasselt, Shimon Whiteson, and Marco Wiering. A Theoretical and Empirical Analysis of Expected Sarsa. In ADPRL 2009: Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, pp. 177–184, March 2009.
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• Lior Kuyer, Shimon Whiteson, Bram Bakker, and Nikos Vlassis. Multiagent Reinforcement Learning for Urban Traffic Control using Coordination Graphs. In ECML 2008: Proceedings of the Nineteenth European Conference on Machine Learning, pp. 656–671, September 2008.
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• Frans Oliehoek, Matthijs Spaan, Shimon Whiteson, and Nikos Vlassis. Exploiting Locality of Interaction in Factored Dec-POMDPs. In AAMAS 2008: Proceedings of the Seventh International Joint Conference on Autonomous Agents and Multi-Agent Systems, pp. 517–524, May 2008.
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• Matthew E. Taylor, Shimon Whiteson, and Peter Stone. Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison. In AAAI 2007: Proceedings of the Twenty-Second National Conference on Artificial Intelligence, pp. 1675–1678, July 2007. (Nectar Track)
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• Matthew E. Taylor, Shimon Whiteson, and Peter Stone. Transfer via Inter-Task Mappings in Policy Search Reinforcement Learning. In AAMAS 2007: Proceedings of the Sixth International Joint Conference on Autonomous Agents and Multi-Agent Systems, pp. 156–163, May 2007.
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• Shimon Whiteson and Daniel Whiteson. Stochastic Optimization for Collision Selection in High Energy Physics. In IAAI 2007: Proceedings of the Nineteenth Annual Innovative Applications of Artificial Intelligence Conference, pp. 1819–1825, July 2007.
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• Matthew E. Taylor, Shimon Whiteson, and Peter Stone. Comparing Evolutionary and Temporal Difference Methods in a Reinforcement Learning Domain. In GECCO 2006: Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1321–1328, July 2006. Best Paper Award, Genetic Algorithms Track.
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• Shimon Whiteson and Peter Stone. Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning. In AAAI 2006: Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 518–523, July 2006.
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• Shimon Whiteson and Peter Stone. On-Line Evolutionary Computation for Reinforcement Learning in Stochastic Domains. In GECCO 2006: Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1577–1584, July 2006.
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• Shimon Whiteson, Peter Stone, Kenneth O. Stanley, Risto Miikkulainen, and Nate Kohl. Automatic Feature Selection in Neuroevolution. In GECCO 2005: Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1225–1232, June 2005.
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• Shimon Whiteson and Peter Stone. Towards Autonomic Computing: Adaptive Job Routing and Scheduling. In IAAI 2004: Proceedings of the Sixteenth Annual Innovative Applications of Artificial Intelligence Conference, pp. 916–922, July 2004.
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• Shimon Whiteson, Nate Kohl, Risto Miikkulainen, and Peter Stone. Evolving RoboCup Keepaway Players through Task Decomposition. In GECCO 2003: Proceedings of the Genetic and Evolutionary Computation Conference, pp. 356–368, July 2003.
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• Shimon Whiteson and Peter Stone. Concurrent Layered Learning. In AAMAS 2003: Proceedings of the Second International Joint Conference on Autonomous Agents and Multi-Agent Systems, pp. 193–200, July 2003.
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Workshop and Short Papers

• Diederik Roijers, Shimon Whiteson, and Frans Oliehoek. Multi-Objective Variable Elimination for Collaborative Graphical Games. In AAMAS 2013: Proceedings of the Twelfth International Joint Conference on Autonomous Agents and Multi-Agent Systems, pp. 1209–1210, May 2013. Extended Abstract.
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• Katja Hofmann, Shimon Whiteson, and Maarten de Rijke. Estimating Interleaved Comparison Outcomes from Historical Click Data. In CIKM 2012: Proceedings of the Twenty-First Conference on Information and Knowledge Management, pp. 1779–1783, October 2012. Short paper.
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• Katja Hofmann, Shimon Whiteson, and Maarten de Rijke. Contextual Bandits for Information Retrieval. In NIPS 2011: Proceedings of the Conference on Neural Information Processing Systems, Workshop on Bayesian Optimization, Experimental Design and Bandits: Theory and Applications, December 2011.
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• Matthijs Snel and Shimon Whiteson. Multi-Task Reinforcement Learning: Shaping and Feature Selection. In EWRL 2011: Proceedings of the Ninth European Workshop on Reinforcement Learning, September 2011.
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• Shimon Whiteson, Brian Tanner, Matthew E. Taylor, and Peter Stone. Generalized Domains for Empirical Evaluations in Reinforcement Learning. In ICML 2009: Proceedings of the Twenty-Sixth International Conference on Machine Learning: Workshop on Evaluation Methods for Machine Learning, June 2009.
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• Matthew E. Taylor, Shimon Whiteson, and Peter Stone. Transfer Learning for Policy Search Methods. In ICML 2006: Proceedings of the Twenty-Third International Conference on Machine Learning Transfer Learning Workshop, June 2006.
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• Shimon Whiteson. Evolutionary Function Approximation for Reinforcement Learning. In GECCO 2006: Proceedings of the Genetic and Evolutionary Computation Conference Graduate Student Workshop, July 2006. Best Paper Award, Graduate Student Workshop.
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• Shimon Whiteson. Improving Reinforcement Learning Function Approximators via Neuroevolution. In AAAI 2005: Tenth Annual Doctoral Consortium, July 2005.
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• Shimon Whiteson, Kenneth O. Stanley, and Risto Miikkulainen. Automatic Feature Selection in Neuroevolution. In GECCO 2004: Proceedings of the Genetic and Evolutionary Computation Conference Workshop on Self-Organization, July 2004.
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Technical Reports

• Aksel Ethembabaoglu and Shimon Whiteson. Automatic Feature Selection using FS-NEAT. Technical Report IAS-UVA-08-02, Intelligent Autonomous Systems Group, University of Amsterdam, 2008.
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• Shimon Whiteson, Matthew E. Taylor, and Peter Stone. Adaptive Tile Coding for Value Function Approximation. Technical Report AI-TR-07-339, University of Texas at Austin, 2007.
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Dissertations

• Shimon Whiteson. Adaptive Representations for Reinforcement Learning. Ph.D. Thesis, Department of Computer Science, University of Texas at Austin, 2007.
  Details     Download: [pdf] (4.3MB )  

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