Modified Triplet-Average Deep Deterministic Policy Gradient for interpretable neuro-fuzzy deep reinforcement learning

In order to find the control rules of the nonlinear system from the learned data, it is necessary to interpret the learned policy in Deep Reinforcement Learning (DRL). This paper presents a novel interpretable Neuro-Fuzzy (NF) inference system based on Modified Triplet-Average Deep Deterministic Pol...

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Veröffentlicht in:	Journal of the Franklin Institute Jg. 362; H. 7
Hauptverfasser:	Nguyen, Tuan-Linh, Thin, Nguyen Van, Lee, Sangmoon
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.05.2025
Schlagworte:	Interpretable neuro-fuzzy controller Inverted pendulum Reinforcement learning Twin-delay Two-phase training Twin-delay Inverted pendulum Two-phase training Reinforcement learning Interpretable neuro-fuzzy controller
ISSN:	0016-0032
Online-Zugang:	Volltext
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