Cooperative multi-robot reinforcement learning: A framework in hybrid state space

In the area of autonomous multi-robot cooperation, much emphasis has been placed on how to coordinate individual robot behaviors in order to achieve an optimal solution to task completion as a team. This paper presents an approach to cooperative multi-robot reinforcement learning based on a hybrid s...

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Veröffentlicht in:	2009 IEEE/RSJ International Conference on Intelligent Robots and Systems S. 1190 - 1196
Hauptverfasser:	Xueqing Sun, Tao Mao, Kralik, J.D., Ray, L.E.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2009
Schlagworte:	Animals Clustering algorithms Collaboration Humans Intelligent robots Learning Orbital robotics Robot kinematics State-space methods Uncertainty
ISBN:	9781424438037, 1424438039
ISSN:	2153-0858
Online-Zugang:	Volltext
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