Enhancing Robotic Navigation: An Evaluation of Single and Multi-Objective Reinforcement Learning Strategies

This study presents a comparative analysis between single-objective and multi-objective reinforcement learning methods for training a robot to navigate effectively to an end goal while efficiently avoiding obstacles. Traditional reinforcement learning techniques, namely Deep Q-Network (DQN), Deep De...

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Bibliographische Detailangaben

Hauptverfasser:	Young, Vicki, Hossain, Jumman, Roy, Nirmalya
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Computer Science - Robotics
Online-Zugang:	Volltext bestellen
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