Soft Actor-Critic for Navigation of Mobile Robots

This paper provides a study of two deep reinforcement learning techniques for application in navigation of mobile robots, one of the techniques is the Soft Actor Critic (SAC) that is compared with the Deep Deterministic Policy Gradients (DDPG) algorithm in the same situation. In order to make a robo...

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Veröffentlicht in:	Journal of intelligent & robotic systems Jg. 102; H. 2; S. 31
Hauptverfasser:	de Jesus, Junior Costa, Kich, Victor Augusto, Kolling, Alisson Henrique, Grando, Ricardo Bedin, Cuadros, Marco Antonio de Souza Leite, Gamarra, Daniel Fernando Tello
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.06.2021 Springer Springer Nature B.V
Schlagworte:	Algorithms Angular velocity Artificial Intelligence Comparative analysis Control Electrical Engineering Employee motivation Engineering Mechanical Engineering Mechatronics Navigation Regular Paper Robotics Robots Topical collection on ICAR 2019 Special Issue Deep reinforcement learning Soft actor-critic Deep deterministic policy gradients Navigation for mobile robots
ISSN:	0921-0296, 1573-0409
Online-Zugang:	Volltext
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