Abstract is missing.
- Reinforcement Learning and Markov Decision ProcessesMartijn Van Otterlo, Marco Wiering. 3-42 [doi]
- Batch Reinforcement LearningSascha Lange, Thomas Gabel, Martin A. Riedmiller. 45-73 [doi]
- Least-Squares Methods for Policy IterationLucian Busoniu, Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos, Robert Babuska, Bart De Schutter. 75-109 [doi]
- Learning and Using ModelsTodd Hester, Peter Stone. 111-141 [doi]
- Transfer in Reinforcement Learning: A Framework and a SurveyAlessandro Lazaric. 143-173 [doi]
- Sample Complexity Bounds of ExplorationLihong Li. 175-204 [doi]
- Reinforcement Learning in Continuous State and Action SpacesHado van Hasselt. 207-251 [doi]
- Solving Relational and First-Order Logical Markov Decision Processes: A SurveyMartijn Van Otterlo. 253-292 [doi]
- Hierarchical ApproachesBernhard Hengst. 293-323 [doi]
- Evolutionary Computation for Reinforcement LearningShimon Whiteson. 325-355 [doi]
- Bayesian Reinforcement LearningNikos Vlassis, Mohammad Ghavamzadeh, Shie Mannor, Pascal Poupart. 359-386 [doi]
- Partially Observable Markov Decision ProcessesMatthijs T. J. Spaan. 387-414 [doi]
- Predictively Defined Representations of StateDavid Wingate. 415-439 [doi]
- Game Theory and Multi-agent Reinforcement LearningAnn Nowé, Peter Vrancx, Yann-Michaël De Hauwere. 441-470 [doi]
- Decentralized POMDPsFrans A. Oliehoek. 471-503 [doi]
- Psychological and Neuroscientific Connections with Reinforcement LearningAshvin Shah. 507-537 [doi]
- Reinforcement Learning in GamesIstván Szita. 539-577 [doi]
- Reinforcement Learning in Robotics: A SurveyJens Kober, Jan Peters 0001. 579-610 [doi]
- Conclusions, Future Directions and OutlookMarco Wiering, Martijn Van Otterlo. 613-630 [doi]