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Design of Experiments for Reinforcement Learning

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Design of Experiments for Reinforcement Learning/ by Christopher Gatti.
作者:	Gatti, Christopher.
面頁冊數:	XIII, 191 p. 46 illus., 25 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Logic design. -
電子資源:	https://doi.org/10.1007/978-3-319-12197-0
ISBN:	9783319121970

Design of Experiments for Reinforcement Learning
Gatti, Christopher.

Design of Experiments for Reinforcement Learning[electronic resource] /by Christopher Gatti. - 1st ed. 2015. - XIII, 191 p. 46 illus., 25 illus. in color.online resource. - Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5053. - Springer Theses, Recognizing Outstanding Ph.D. Research,.

Introduction -- Reinforcement Learning. Design of Experiments -- Methodology -- The Mountain Car Problem -- The Truck Backer-Upper Problem -- The Tandem Truck Backer-Upper Problem -- Appendices.

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.

ISBN: 9783319121970

Standard No.: 10.1007/978-3-319-12197-0doiSubjects--Topical Terms:

561473
Logic design.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Design of Experiments for Reinforcement Learning
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