Automation and Control Engineering - Reinforcement Learning and Dynamic Programming Using Function Approximators
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Published By CRC Press

9781439821084, 9781439821091

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Bibliography

Automation and Control Engineering - Reinforcement Learning and Dynamic Programming Using Function Approximators ◽

10.1201/9781439821091-b2 ◽

2010 ◽

pp. 249-265

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Symbols and abbreviations

Automation and Control Engineering - Reinforcement Learning and Dynamic Programming Using Function Approximators ◽

10.1201/9781439821091-b1 ◽

2010 ◽

pp. 245-248

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Approximate policy search with cross-entropy optimization of basis functions

Automation and Control Engineering - Reinforcement Learning and Dynamic Programming Using Function Approximators ◽

10.1201/9781439821091-c6 ◽

2010 ◽

pp. 205-234

Keyword(s):

Basis Functions ◽

Cross Entropy ◽

Policy Search ◽

Entropy Optimization

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An introduction to dynamic programming and reinforcement learning

Automation and Control Engineering - Reinforcement Learning and Dynamic Programming Using Function Approximators ◽

10.1201/9781439821091-c2 ◽

2010 ◽

pp. 11-42

Keyword(s):

Dynamic Programming ◽

Reinforcement Learning

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The cross-entropy method

Automation and Control Engineering - Reinforcement Learning and Dynamic Programming Using Function Approximators ◽

10.1201/9781439821091-a2 ◽

2010 ◽

pp. 239-244

Keyword(s):

Entropy Method ◽

Cross Entropy ◽

Cross Entropy Method ◽

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Front Matter

Automation and Control Engineering - Reinforcement Learning and Dynamic Programming Using Function Approximators ◽

10.1201/9781439821091-f ◽

2010 ◽

pp. i-xiii

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Introduction

Automation and Control Engineering - Reinforcement Learning and Dynamic Programming Using Function Approximators ◽

10.1201/9781439821091-c1 ◽

2010 ◽

pp. 1-9 ◽

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List of algorithms

Automation and Control Engineering - Reinforcement Learning and Dynamic Programming Using Function Approximators ◽

10.1201/9781439821091-b3 ◽

2010 ◽

pp. 267-267

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Extremely randomized trees

Automation and Control Engineering - Reinforcement Learning and Dynamic Programming Using Function Approximators ◽

10.1201/9781439821091-a1 ◽

2010 ◽

pp. 235-238

Keyword(s):

Extremely Randomized Trees

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Approximate policy iteration for online learning and continuous-action control

Automation and Control Engineering - Reinforcement Learning and Dynamic Programming Using Function Approximators ◽

10.1201/9781439821091-c5 ◽

2010 ◽

pp. 167-204

Keyword(s):

Online Learning ◽

Action Control ◽

Policy Iteration ◽

Continuous Action ◽

Approximate Policy Iteration

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