[PDF.76ki] Design of Experiments for Reinforcement Learning (Springer Theses)
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Design of Experiments for Reinforcement Learning (Springer Theses)
Christopher Gatti
[PDF.ab51] Design of Experiments for Reinforcement Learning (Springer Theses)
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| #4583265 in Books | 2014-11-22 | Original language:English | PDF # 1 | 9.21 x.50 x6.14l,1.03 | File type: PDF | 191 pages||About the Author||Christopher Gatti received his PhD in Decision Sciences and Engineering Systems from Rensselaer Polytechnic Institute (RPI). During his time at RPI, his work focused on machine learning and statistics, with applications in 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 reinforce...
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