Design of Experiments for Reinforcement Learning

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Design of Experiments for Reinforcement...

Design of Experiments for Reinforcement Learning

Name: Design of Experiments for Reinforcement Learning
ISBN: 9783319121963

Christopher Gatti (auth.)

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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.

الفئات:

Computers

عام:

2015

الإصدار:

الناشر:

Springer International Publishing

اللغة:

english

الصفحات:

191

ISBN 10: