Shimon Whiteson's Publications
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2012
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2012
- 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, 2012. To appear.
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(836.7kB
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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, June 2012. To appear.
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(414.1kB
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- Shimon Whiteson. Evolutionary Computation for Reinforcement Learning.
In Marco Wiering and Martijn van
Otterlo, editors, Reinforcement Learning: State of the Art, Springer, Berlin, Germany, 2012. To appear.
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[pdf]
(484.1kB
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2011
- 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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[pdf]
(634.4kB
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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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[pdf]
(421.2kB
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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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[pdf]
(173.9kB
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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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[pdf]
(354.1kB
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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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[pdf]
(1008.7kB
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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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[pdf]
(519.6kB
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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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[pdf]
(2.1MB
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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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[pdf]
(124.2kB
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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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[pdf]
(211.4kB
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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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[pdf]
(225.2kB
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2010
- 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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[pdf]
(865.0kB
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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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[pdf]
(228.2kB
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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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[pdf]
(211.5kB
)
- Shimon Whiteson. Adaptive Representations for Reinforcement Learning,
Studies in Computational Intelligence, Springer, Berlin, Germany, 2010.
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(unavailable)
- Shimon Whiteson, Brian Tanner,
and Adam White. The Reinforcement Learning Competitions. AI Magazine, 31(2):81–94,
2010.
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[pdf]
(4.8MB
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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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[pdf]
(372.4kB
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2009
- 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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[pdf]
(746.8kB
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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.
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[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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[pdf]
(226.6kB
)
- 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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[pdf]
(209.6kB
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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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[pdf]
(179.7kB
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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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[pdf]
(197.4kB
)
- 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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[pdf]
(1003.1kB
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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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[pdf]
(115.6kB
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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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[pdf]
(293.2kB
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2008
- 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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[pdf]
(582.6kB
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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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[pdf]
(565.3kB
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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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(2.1MB
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2007
- 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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(100.2kB
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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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(291.6kB
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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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(404.8kB
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- Shimon Whiteson. Adaptive Representations for Reinforcement Learning.
Ph.D. Thesis, Department of Computer Science, University of Texas at Austin, 2007.
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(4.3MB
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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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(828.6kB
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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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(329.4kB
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2006
- 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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(235.9kB
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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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[pdf]
(107.7kB
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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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(316.7kB
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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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(754.2kB
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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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(1.5MB
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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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[pdf]
(1.0MB
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2005
- 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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[pdf]
(181.4kB
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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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(278.8kB
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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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[pdf]
(28.7kB
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2004
2003
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