Optimized Subgoal Generation in Hierarchical Reinforcement Learning for Coverage Path Planning

Hierarchical Reinforcement Learning (HRL) for UAV Coverage Path Planning (CPP) is hindered by the “subgoal space explosion”, causing inefficient exploration. To address this, we propose a two-stage framework, Hierarchical Reinforcement Learning Guided by Landmarks (HRGL), which synergistically combi...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Yijun Zhang, Zhiming Li, Ku Du
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-10-01
Edice:	Automation
Témata:	hierarchical reinforcement learning Coverage Path Planning subgoal generation landmark-guided exploration adjacency constraint
On-line přístup:	https://www.mdpi.com/2673-4052/6/4/57
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!