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Reinforcement Learning, Logic and Evolutionary Computation

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ISBN-10: 383830196X

ISBN-13: 9783838301969

Edition: N/A

Authors: Drew Mellor

List price: $113.00
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Description:

Reinforcement learning (RL) consists of methods that automatically adjust behaviour based on numerical rewards and penalties. While use of the attribute-value framework is widespread in RL, it has limited expressive power. Logic languages, such as first-order logic, provide a more expressive framework, and their use in RL has led to the field of relational RL. This thesis develops a system for relational RL based on learning classifier systems (LCS). In brief, the system generates, evolves, and evaluates a population of condition-action rules, which take the form of definite clauses over first-order logic. Adopting the LCS approach allows the resulting system to integrate several desirable…    
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Book details

List price: $113.00
Publisher: Lap Lambert Academic Publishing GmbH & Company KG
Binding: Paperback
Pages: 292
Size: 6.00" wide x 9.00" long x 0.66" tall
Weight: 0.946
Language: English