Empirical explorations of strategic reinforcement learning: a case study in the sorting problem

Recent advances in deep learning and reinforcement learning have made it possible to create an agent that is capable of mimicking human behaviours. In this paper, we are interested in how the reinforcement learning agent behaves under different learning strategies and whether it is able to complete...

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Bibliographic Details
Main Authors: Ching-Sheng Lin, Jung-Sing Jwo, Cheng-Hsiung Lee, Ya-Ching Lo
Format: Article
Language:English
Published: Estonian Academy Publishers 2020-05-01
Series:Proceedings of the Estonian Academy of Sciences
Subjects:
Online Access:https://kirj.ee/public/proceedings_pdf/2020/issue_3/proc-2020-3-186-196.pdf