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Reinforcement Learning: State-Of-The-Art

Reinforcement Learning: State-Of-The-Art

Paperback

Series: Adaptation, Learning, and Optimization, Book 12

Technology & EngineeringGeneral Computers

ISBN10: 364244685X
ISBN13: 9783642446856
Publisher: Springer Nature
Published: Apr 16 2014
Pages: 638
Weight: 2.10
Height: 1.50 Width: 6.10 Depth: 8.90
Language: English
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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