Recent Advances in Reinforcement Learning

8th European Workshop, EWRL 2008, Villeneuve d’Ascq, France, June 30-July 3, 2008, Revised and Selected Papers

  • Sertan Girgin
  • Manuel Loth
  • Rémi Munos
  • Philippe Preux
  • Daniil Ryabko
Conference proceedings EWRL 2008

DOI: 10.1007/978-3-540-89722-4

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5323)

Table of contents (21 papers)

  1. Front Matter
  2. Exploiting Additive Structure in Factored MDPs for Reinforcement Learning
    Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
    Pages 15-26
  3. Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration
    Christos Dimitrakakis, Michail G. Lagoudakis
    Pages 27-40
  4. Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case
    Kirill Dyagilev, Shie Mannor, Nahum Shimkin
    Pages 41-54
  5. Regularized Fitted Q-Iteration: Application to Planning
    Amir massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor
    Pages 55-68
  6. A Near Optimal Policy for Channel Allocation in Cognitive Radio
    Sarah Filippi, Olivier Cappé, Fabrice Clérot, Eric Moulines
    Pages 69-81
  7. Bayesian Reward Filtering
    Matthieu Geist, Olivier Pietquin, Gabriel Fricout
    Pages 96-109
  8. Basis Expansion in Natural Actor Critic Methods
    Sertan Girgin, Philippe Preux
    Pages 110-123
  9. Reinforcement Learning with the Use of Costly Features
    Robby Goetschalckx, Scott Sanner, Kurt Driessens
    Pages 124-135
  10. Optimistic Planning of Deterministic Systems
    Jean-François Hren, Rémi Munos
    Pages 151-164
  11. Tile Coding Based on Hyperplane Tiles
    Daniele Loiacono, Pier Luca Lanzi
    Pages 179-190
  12. Use of Reinforcement Learning in Two Real Applications
    José D. Martín-Guerrero, Emilio Soria-Olivas, Marcelino Martínez-Sober, Antonio J. Serrrano-López, Rafael Magdalena-Benedito, Juan Gómez-Sanchis
    Pages 191-204
  13. Applications of Reinforcement Learning to Structured Prediction
    Francis Maes, Ludovic Denoyer, Patrick Gallinari
    Pages 205-219
  14. Policy Learning – A Unified Perspective with Applications in Robotics
    Jan Peters, Jens Kober, Duy Nguyen-Tuong
    Pages 220-228
  15. Probabilistic Inference for Fast Learning in Control
    Carl Edward Rasmussen, Marc Peter Deisenroth
    Pages 229-242

About these proceedings


This book constitutes revised and selected papers of the 8th European Workshop on Reinforcement Learning, EWRL 2008, which took place in Villeneuve d'Ascq, France, during June 30 - July 3, 2008.

The 21 papers presented were carefully reviewed and selected from 61 submissions. They are dedicated to the field of and current researches in reinforcement learning.


Bayesian filtering algorithmic learning classification decision making dynamic programming ensemble methods evolutionary systems learning machine learning neural networks optimal sampling optimistic decision making planning poli reinforcement learning

Editors and affiliations

  • Sertan Girgin
    • 1
  • Manuel Loth
    • 2
  • Rémi Munos
    • 2
  • Philippe Preux
    • 2
  • Daniil Ryabko
    • 2
  1. 1.INRIA Lille-Nord EuropeVilleneuve d’AscqFrance
  2. 2.INRIA, LIFL, CNRS, Université de LilleVilleneuve d’AscqFrance

Bibliographic information

  • Copyright Information Springer Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-89721-7
  • Online ISBN 978-3-540-89722-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349