Design of Experiments for Reinforcement Learning
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Design of Experiments for Reinforcement Learning

SKU: 9783319121970

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Additional information

Full Title

Design of Experiments for Reinforcement Learning
Author(s)

Christopher Gatti
Edition
ISBN

9783319121970, 9783319121963
Publisher

Springer
Format

PDF and EPUB

Description

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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