Items related to Reinforcement Learning: State-of-the-Art

Reinforcement Learning: State-of-the-Art ISBN 13: 9783642276460

Reinforcement Learning: State-of-the-Art - Softcover

 
9783642276460: Reinforcement Learning: State-of-the-Art
Softcover
ISBN 10: 3642276466 ISBN 13: 9783642276460
Publisher: Springer, 2012

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Synopsis

Continous State and Action Spaces.- Relational and First-Order Knowledge Representation.- Hierarchical Approaches.- Predictive Approaches.- Multi-Agent Reinforcement Learning.- Partially Observable Markov Decision Processes (POMDPs).- Decentralized POMDPs (DEC-POMDPs).- Features and Function Approximation.- RL as Supervised Learning (or batch learning).- Bounds and complexity.- RL for Games.- RL in Robotics.- Policy Gradient Techniques.- Least Squares Value Iteration.- Models and Model Induction.- Model-based RL.- Transfer Learning in RL.- Using of and extracting Knowledge in RL.- Biological or Psychological Background.- Evolutionary Approaches.- Closing chapter, prospects, future issues.

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  • PublisherSpringer
  • Publication date2012
  • ISBN 10 3642276466
  • ISBN 13 9783642276460
  • BindingPaperback
  • LanguageEnglish

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Other Popular Editions of the Same Title

9783642276446: Reinforcement Learning: State-of-the-Art: 12 (Adaptation, Learning, and Optimization, 12)

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ISBN 10:  364227644X ISBN 13:  9783642276446
Publisher: Springer, 2012
Hardcover