Design of Experiments for Reinforcement Learning

Nonfiction, Computers, Advanced Computing, Programming, Logic Design, Artificial Intelligence, General Computing
Cover of the book Design of Experiments for Reinforcement Learning by Christopher Gatti, Springer International Publishing
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Author: Christopher Gatti ISBN: 9783319121970
Publisher: Springer International Publishing Publication: November 22, 2014
Imprint: Springer Language: English
Author: Christopher Gatti
ISBN: 9783319121970
Publisher: Springer International Publishing
Publication: November 22, 2014
Imprint: Springer
Language: English

This thesis takes an empirical approach to understanding of the behavior and interactions between the two main components of reinforcement learning: the learning algorithm and the functional representation of learned knowledge. The author approaches these entities using design of experiments not commonly employed to study machine learning methods. The results outlined in this work provide insight as to what enables and what has an effect on successful reinforcement learning implementations so that this learning method can be applied to more challenging problems.

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This thesis takes an empirical approach to understanding of the behavior and interactions between the two main components of reinforcement learning: the learning algorithm and the functional representation of learned knowledge. The author approaches these entities using design of experiments not commonly employed to study machine learning methods. The results outlined in this work provide insight as to what enables and what has an effect on successful reinforcement learning implementations so that this learning method can be applied to more challenging problems.

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