EAN: 9783319121963

DESIGN OF EXPERIMENTS FOR REINFORCEMENT LEARNIN...

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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