QuasiNav: Asymmetric Cost-Aware Navigation Planning with Constrained Quasimetric Reinforcement Learning

Autonomous navigation in unstructured outdoor environments is inherently challenging due to the presence of asymmetric traversal costs, such as varying energy expenditures for uphill versus downhill movement. Traditional reinforcement learning methods often assume symmetric costs, which can lead to...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Hossain, Jumman, Faridee, Abu-Zaher, Asher, Derrik, Freeman, Jade, Trout, Theron, Gregory, Timothy, Roy, Nirmalya
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Computer Science - Robotics
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!