Reinforcement learning : state-of-the-art / Marco Wiering and Martijn van Otterlo (eds.).

Includes bibliographical references and index.

1. Reinforcement learning and Markov decision processes / Martijn van Otterlo, Marco Wiering -- 2. Batch reinforcement learning / Sascha Lange, Thomas Gabel, Martin Riedmiller -- 3. Least-squares methods for policy iteration / Lucian Buşoniu, Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos, Robert Babuška, Bart De Schutter -- 4. Learning and using models / Todd Hester, Peter Stone -- 5. Transfer in reinforcement learning: a framework and a survey / Alessandro Lazaric -- 6. Sample complexity bounds of exploration / Lihong Li -- 7. Reinforcement learning in continuous state and action spaces / Hado van Hasselt -- 8. Solving relational and first-order logical Markov decision processes: a survey / Martijn van Otterlo -- 9. Hierarchical approaches / Bernhard Hengst -- 10. Evolutionary computation for reinforcement learning / Shimon Whiteson -- 11. Bayesian reinforcement learning / Nikos Vlassis, Mohammad Ghavamzadeh, Shie Mannor, Pascal Poupart -- 12. Partially observable Markov decision processes / Matthijs T. J. Spaan -- 13. Predictively defined representations of state / David Wingate -- 14. Game theory and multi-agent reinforcement learning / Ann Nowé, Peter Vrancx, Yann-Michaël De Hauwere -- 15. Decentralized POMDPs / Frans A. Oliehoek -- 16. Psychological and neuroscientific connections with reinforcement learning / Ashvin Shah -- 17. Reinforcement learning in games / István Szita -- 18. Reinforcement learning in robotics: a survey / Jens Kober, Jan Peters -- 19. Conclusions, future directions and outlook / Marco Wiering, Martijn van Otterlo.