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A novel approach based on evolutionary game theoretic model for multi- player pursuit evasion

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2 Author(s)
Renping Liu ; Coll. of Inf. Eng., North China Univ. of Technol., Beijing, China ; Cai ze-su

In this paper, we consider a novel Three Hierarchical decomposition approach for Multi-Player Pursuit Evaders (MPPE) game. In multi-player pursuit evasion game, hierarchical framework is applied widely in order to decompose the original complicated multi-player game into multiple small scale games. In this paper, we first study the number of pursuers which necessitates; the capture condition and the time of all evaders have been captured. Then, describe the Distributed Task Assignment Stage Based on dynamic Coalition Formation. Last, a novel multi-agent Q-learning approach based on Evolutionary Game Theoretic model is used for pursue. Experimental results obtained on two different environments of a well-known pursuit domain show the effectiveness and robustness of the proposed Hierarchical architecture and learning approach.

Published in:

Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on  (Volume:1 )

Date of Conference:

24-26 Aug. 2010