Steady State Analysis of Episodic Reinforcement
Learning
Huang Bojun
Rakuten Institute of Technology, Tokyo, Japan
bojhuang@outlook.com
Abstract
In this paper we proved that unique steady-state distributions pervasively exist
in the learning environment of episodic learning tasks, and that the marginal
distributions of the system state indeed approach to the steady state in essentially
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