제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 2001년도 ICCAS
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- Pages.149.1-149
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- 2001
A Study of Cooperative Algorithm in Multi Robots by Reinforcement Learning
- Hong, Seong-Woo (Pukyong National Univ.) ;
- Park, Gyu-Jong (Pukyong National Univ.) ;
- Bae, Jong-I1 (Pukyong National Univ.) ;
- Ahn, Doo-Sung (Pukyong National Univ.)
- 발행 : 2001.10.01
초록
In multi robot environment, the action selection strategy is important for the cooperation and coordination of multi agents. However the overlap of actions selected individually by each robot makes the acquisition of cooperation behaviors less efficient. In addition to that, a complex and dynamic environment makes cooperation even more difficult. So in this paper, we propose a control algorithm which enables each robot to determine the action for the effective cooperation in multi-robot system. Here, we propose cooperative algorithm with reinforcement learning to determine the action selection In this paper, when the environment changes, each robot selects an appropriate behavior strategy intelligently. We employ ...
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