Backstepping Temporal Difference Learning

Off-policy learning ability is an important feature of reinforcement learning (RL) for practical applications. However, even one of the most elementary RL algorithms, temporal-difference (TD) learning, is known to suffer form divergence issue when the off-policy scheme is used together with linear f...

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Veröffentlicht in:	arXiv.org 2023-02
Hauptverfasser:	Han-Dong, Lim, Lee, Donghwan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Control theory Convergence Divergence Linear functions Machine learning Nonlinear control
Online-Zugang:	Volltext
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