A SURVEY OF REINFORCEMENT LEARNING FOR FORMATION CONTROL.

Authors :: Shopov, Ventseslav Kirilov
Markova, Vanya Dimitrova
Source :: Proceedings of the International Conference on Information Technologies. 2019, p1-4. 4p.
Publication Year :: 2019
Abstract: Autonomous agents in moving subspace should move in a particular formation. This article provides a brief overview of current Reinforcement Learning methods for formation control. The approaches to creating the formation and avoiding collisions between individual agents are considered. [ABSTRACT FROM AUTHOR]

Subjects :: *REINFORCEMENT learning
*INTELLIGENT agents
*MACHINE learning
*COLLISION avoidance systems in automobiles
*ARTIFICIAL intelligence

Language :: English
ISSN :: 13141023
Database :: Academic Search Index
Journal :: Proceedings of the International Conference on Information Technologies
Publication Type :: Conference
Accession number :: 144310400

Tools