1. Research on multi-robot cooperation strategy based on multi-agent reinforcement learning.
- Author
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DUAN Yong and XU Xin-he
- Subjects
- *
MULTIAGENT systems , *REINFORCEMENT learning , *MACHINE learning , *ROBOTICS , *ARTIFICIAL neural networks - Abstract
A multi-agent reinforcement learning method based on action prediction of other agents is proposed. In the multi-agent system, the action selection of a learning agent must be effected by other agents' action. Therefore, joint-state and joint-action are involved in reinforcement learning system. The method of agent action prediction based on the probabilistic neural network is proposed. So the joint-action is formed and multi-agent reinforcement learning is implemented. Furthermore, the application of the proposed method in cooperation strategy learning of robot soccer is studied. Through mutually learning with environment, multiple robot system can master behavior strategy and realize multiple robots coordination and cooperation. [ABSTRACT FROM AUTHOR]
- Published
- 2014