Adaptation, Learning, and Optimization - Reinforcement Learning
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Published By Springer Berlin Heidelberg

9783642276446, 9783642276453

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Least-Squares Methods for Policy Iteration

Adaptation, Learning, and Optimization - Reinforcement Learning ◽

10.1007/978-3-642-27645-3_3 ◽

2012 ◽

pp. 75-109 ◽

Cited By ~ 6

Author(s):

Lucian Buşoniu ◽

Alessandro Lazaric ◽

Mohammad Ghavamzadeh ◽

Rémi Munos ◽

Robert Babuška ◽

...

Keyword(s):

Least Squares ◽

Policy Iteration

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Batch Reinforcement Learning

Adaptation, Learning, and Optimization - Reinforcement Learning ◽

10.1007/978-3-642-27645-3_2 ◽

2012 ◽

pp. 45-73 ◽

Cited By ~ 39

Author(s):

Sascha Lange ◽

Thomas Gabel ◽

Martin Riedmiller

Keyword(s):

Reinforcement Learning ◽

Batch Reinforcement Learning

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Reinforcement Learning in Robotics: A Survey

Adaptation, Learning, and Optimization - Reinforcement Learning ◽

10.1007/978-3-642-27645-3_18 ◽

2012 ◽

pp. 579-610 ◽

Cited By ~ 69

Author(s):

Jens Kober ◽

Jan Peters

Keyword(s):

Reinforcement Learning

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Hierarchical Approaches

Adaptation, Learning, and Optimization - Reinforcement Learning ◽

10.1007/978-3-642-27645-3_9 ◽

2012 ◽

pp. 293-323 ◽

Cited By ~ 8

Author(s):

Bernhard Hengst

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Conclusions, Future Directions and Outlook

Adaptation, Learning, and Optimization - Reinforcement Learning ◽

10.1007/978-3-642-27645-3_19 ◽

2012 ◽

pp. 613-630 ◽

Cited By ~ 7

Author(s):

Marco Wiering ◽

Martijn van Otterlo

Keyword(s):

Future Directions

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Predictively Defined Representations of State

Adaptation, Learning, and Optimization - Reinforcement Learning ◽

10.1007/978-3-642-27645-3_13 ◽

2012 ◽

pp. 415-439

Author(s):

David Wingate

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Partially Observable Markov Decision Processes

Adaptation, Learning, and Optimization - Reinforcement Learning ◽

10.1007/978-3-642-27645-3_12 ◽

2012 ◽

pp. 387-414 ◽

Cited By ~ 26

Author(s):

Matthijs T. J. Spaan

Keyword(s):

Markov Decision Processes ◽

Decision Processes ◽

Markov Decision ◽

Partially Observable Markov ◽

Partially Observable

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Solving Relational and First-Order Logical Markov Decision Processes: A Survey

Adaptation, Learning, and Optimization - Reinforcement Learning ◽

10.1007/978-3-642-27645-3_8 ◽

2012 ◽

pp. 253-292 ◽

Cited By ~ 1

Author(s):

Martijn van Otterlo

Keyword(s):

Markov Decision Processes ◽

Decision Processes ◽

First Order ◽

Markov Decision

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Reinforcement Learning in Continuous State and Action Spaces

Adaptation, Learning, and Optimization - Reinforcement Learning ◽

10.1007/978-3-642-27645-3_7 ◽

2012 ◽

pp. 207-251 ◽

Cited By ~ 58

Author(s):

Hado van Hasselt

Keyword(s):

Reinforcement Learning ◽

Continuous State ◽

Action Spaces

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Psychological and Neuroscientific Connections with Reinforcement Learning

Adaptation, Learning, and Optimization - Reinforcement Learning ◽

10.1007/978-3-642-27645-3_16 ◽

2012 ◽

pp. 507-537 ◽

Cited By ~ 3

Author(s):

Ashvin Shah

Keyword(s):

Reinforcement Learning

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Adaptation, Learning, and Optimization - Reinforcement LearningLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Least-Squares Methods for Policy Iteration

Batch Reinforcement Learning

Reinforcement Learning in Robotics: A Survey

Hierarchical Approaches

Conclusions, Future Directions and Outlook

Predictively Defined Representations of State

Partially Observable Markov Decision Processes

Solving Relational and First-Order Logical Markov Decision Processes: A Survey

Reinforcement Learning in Continuous State and Action Spaces

Psychological and Neuroscientific Connections with Reinforcement Learning

Adaptation, Learning, and Optimization - Reinforcement Learning
Latest Publications