8. EWRL 2008: Villeneuve d'Ascq, France

Sertan Girgin, Manuel Loth, Rémi Munos, Philippe Preux, Daniil Ryabko (Eds.): Recent Advances in Reinforcement Learning, 8th European Workshop, EWRL 2008, Villeneuve d'Ascq, France, June 30 - July 3, 2008, Revised and Selected Papers. Lecture Notes in Computer Science 5323 Springer 2008, ISBN 978-3-540-89721-7 BibTeX

Boris Defourny, Damien Ernst, Louis Wehenkel:
Lazy Planning under Uncertainty by Optimizing Decisions on an Ensemble of Incomplete Disturbance Trees. 1-14
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Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin:
Exploiting Additive Structure in Factored MDPs for Reinforcement Learning. 15-26
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Christos Dimitrakakis, Michail G. Lagoudakis:
Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration. 27-40
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Kirill Dyagilev, Shie Mannor, Nahum Shimkin:
Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case. 41-54
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Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor:
Regularized Fitted Q-Iteration: Application to Planning. 55-68
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Sarah Filippi, Olivier Cappé, Fabrice Clérot, Eric Moulines:
A Near Optimal Policy for Channel Allocation in Cognitive Radio. 69-81
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Thomas Gabel, Martin Riedmiller:
Evaluation of Batch-Mode Reinforcement Learning Methods for Solving DEC-MDPs with Changing Action Sets. 82-95
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Matthieu Geist, Olivier Pietquin, Gabriel Fricout:
Bayesian Reward Filtering. 96-109
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Sertan Girgin, Philippe Preux:
Basis Expansion in Natural Actor Critic Methods. 110-123
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Robby Goetschalckx, Scott Sanner, Kurt Driessens:
Reinforcement Learning with the Use of Costly Features. 124-135
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Verena Heidrich-Meisner, Christian Igel:
Variable Metric Reinforcement Learning Methods Applied to the Noisy Mountain Car Problem. 136-150
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Jean-François Hren, Rémi Munos:
Optimistic Planning of Deterministic Systems. 151-164
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Yuxi Li, Dale Schuurmans:
Policy Iteration for Learning an Exercise Policy for American Options. 165-178
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Daniele Loiacono, Pier Luca Lanzi:
Tile Coding Based on Hyperplane Tiles. 179-190
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José David Martín-Guerrero, Emilio Soria-Olivas, Marcelino Martínez-Sober, Antonio J. Serrano-López, Rafael Magdalena-Benedito, Juan Gómez-Sanchís:
Use of Reinforcement Learning in Two Real Applications. 191-204
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Francis Maes, Ludovic Denoyer, Patrick Gallinari:
Applications of Reinforcement Learning to Structured Prediction. 205-219
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Jan Peters, Jens Kober, Duy Nguyen-Tuong:
Policy Learning - A Unified Perspective with Applications in Robotics. 220-228
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Carl Edward Rasmussen, Marc Peter Deisenroth:
Probabilistic Inference for Fast Learning in Control. 229-242
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Noel Welsh, Jeremy Wyatt:
United We Stand: Population Based Methods for Solving Unknown POMDPs. 243-252
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Huizhen Yu, Dimitri P. Bertsekas:
New Error Bounds for Approximations from Projected Linear Equations. 253-267
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Jia Yuan Yu, Shie Mannor, Nahum Shimkin:
Markov Decision Processes with Arbitrary Reward Processes. 268-281
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