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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/44030

Title: A Hybrid Approach to Multi-Agent Pursuit-Evasion Game
Authors: Jong-Yih Kuo
Yong-Yi Fanjiang
Shang-Pin Ma
Jia-Lin Syu
Contributors: 國立臺灣海洋大學:資訊工程學系
NTOU:Department of Computer Science and Engineering
Keywords: Intelligent Agent
Reinforcement Learning
Pursuit-evasion Game
Case-based Reasoning
Date: 2011-07
Issue Date: 2017-11-09T07:54:08Z
Publisher: In Proceedings of the International Conference of Machine Learning and Cybernetics 2011 (ICMLC 2011)
Abstract: Abstract:In multi-agent pursuit-evasion game, pursuers need to coordinate the behavior of each other to achieve a common goal: catching the evader. In this paper, a learning mechanism to capture evader in a dynamic environment of pursuit-evasion game is proposed. It deals with the uncertainty in environment using training and, according to whether the agents cooperated with each other, agent learning is divided into two ways: one is individual learning and the other is case-based reasoning. With these methods, agents are capable of memorizing and learning in order to catch evader more quickly.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/44030
Appears in Collections:[資訊工程學系] 演講及研討會

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