Mobile Robot Path Planning Based on Improved TD3 Algorithm

The traditional path-planning algorithm of a mobile robot usually requires a map to effectively plan the path. By contrast, path planning based on Deep Reinforcement Learning (DRL) does not require maps for navigation, owing to which it has received considerable attention. However, traditional DRL p...

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Bibliografiske detaljer

Hovedforfatter:	LI Mingming, PAN Zihao
Format:	Artigo
Sprog:	Inglês
Udgivet:	Editorial Office of Computer Engineering 2026-05-01
Serier:	Jisuanji gongcheng
Fag:	path planning|deep reinforcement learning (drl)|twin delayed deep deterministic (td3) policy gradient|pink noise|loss-adjusted approximate actor prioritized (la3p) experience replay
Online adgang:	https://www.ecice06.com/fileup/1000-3428/PDF/20260511.pdf
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