Reinforcement Learning

State-of-the-Art

AvMarco Wiering,Martijn van Otterlo

Inbunden, Engelska, 2012

Del 12 i serien Adaptation, Learning, and Optimization

4 353 kr

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Beskrivning

Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents.

Produktinformation

Utgivningsdatum:2012-03-14
Mått:155 x 235 x 43 mm
Vikt:1 180 g
Format:Inbunden
Språk:Engelska
Serie:Adaptation, Learning, and Optimization
Antal sidor:638
Upplaga:2012
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783642276446

Utforska kategorier

Artificiell intelligens inom Data och IT

Innehållsförteckning

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.