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

Table of contents

  1. Front Matter
  2. Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
    Pages 15-26
  3. Christos Dimitrakakis, Michail G. Lagoudakis
    Pages 27-40
  4. Kirill Dyagilev, Shie Mannor, Nahum Shimkin
    Pages 41-54
  5. Amir massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, Shie Mannor
    Pages 55-68
  6. Sarah Filippi, Olivier Cappé, Fabrice Clérot, Eric Moulines
    Pages 69-81
  7. Matthieu Geist, Olivier Pietquin, Gabriel Fricout
    Pages 96-109
  8. Sertan Girgin, Philippe Preux
    Pages 110-123
  9. Robby Goetschalckx, Scott Sanner, Kurt Driessens
    Pages 124-135
  10. Jean-François Hren, Rémi Munos
    Pages 151-164
  11. Daniele Loiacono, Pier Luca Lanzi
    Pages 179-190
  12. José D. Martín-Guerrero, Emilio Soria-Olivas, Marcelino Martínez-Sober, Antonio J. Serrrano-López, Rafael Magdalena-Benedito, Juan Gómez-Sanchis
    Pages 191-204
  13. Francis Maes, Ludovic Denoyer, Patrick Gallinari
    Pages 205-219
  14. Jan Peters, Jens Kober, Duy Nguyen-Tuong
    Pages 220-228
  15. Carl Edward Rasmussen, Marc Peter Deisenroth
    Pages 229-242

About these proceedings

Introduction

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.

Keywords

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

  • DOI https://doi.org/10.1007/978-3-540-89722-4
  • 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