Design of Experiments for Reinforcement Learning
Title:
Design of Experiments for Reinforcement Learning
ISBN:
9783319121970
Personal Author:
Edition:
1st ed. 2015.
Publication Information New:
Cham : Springer International Publishing : Imprint: Springer, 2015.
Physical Description:
XIII, 191 p. 46 illus., 25 illus. in color. online resource.
Series:
Springer Theses, Recognizing Outstanding Ph.D. Research,
Contents:
Introduction -- Reinforcement Learning. Design of Experiments -- Methodology -- The Mountain Car Problem -- The Truck Backer-Upper Problem -- The Tandem Truck Backer-Upper Problem -- Appendices.
Abstract:
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.
Added Corporate Author:
Electronic Access:
Full Text Available From Springer Nature Engineering 2015 Packages
Language:
English