Christopher Gatti
Design of Experiments for Reinforcement Learning
Paperback Engels 2016 9783319385518
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9783319385518
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing
Serie:Springer Theses
Lezersrecensies
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Inhoudsopgave
Introduction.- Reinforcement Learning. Design of Experiments.- Methodology.- The Mountain Car Problem.- The Truck Backer-Upper Problem.- The Tandem Truck Backer-Upper Problem.- Appendices. <br>
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