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...

Celý popis

Podrobná bibliografia

Vydané v:	Journal of the Franklin Institute Ročník 362; číslo 7
Hlavní autori:	Nguyen, Tuan-Linh, Thin, Nguyen Van, Lee, Sangmoon
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.05.2025
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!