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Design of Experiments for Reinforcement Learning

Design of Experiments for Reinforcement Learning

Hardcover

Series: Springer Theses

Technology & EngineeringGeneral Computers

ISBN10: 3319121960
ISBN13: 9783319121963
Publisher: Springer Nature
Published: Dec 8 2014
Pages: 191
Weight: 1.03
Height: 0.50 Width: 6.14 Depth: 9.21
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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