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Found 1 from your keywords: author=Christopher Gatti
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Design of Experiments for Reinforcement Learning
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Christopher Gatti

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 insig…

Edition
-
ISBN/ISSN
9783319121970
Collation
196 pages
Series Title
-
Call Number
006.3