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2009 WRI World Congress on Computer Science and Information Engineering
Study on Multi-agent Simulation System Based on Reinforcement Learning Algorithm
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
Multi-agent simulation system based on reinforcement learning algorithm is a micro-individual acts of modeling and simulation methods, which have wide applicability, distribution, intelligent and interactive features etc. Firstly, studying on reinforcement learning algorithm, and then analysis and design the multi-agent simulation system structure, multi-agent system main modules, the implementation of the definition and finally, carefully design the multi-agent simulation system software, and multi-agent simulation collective system simulation and surrounded the location gathered from the space simulation experiment, the results showed that: Construct a multi-agent simulation system based on reinforcement learning algorithm, achieve real-time simulation of multi-agene, and multi-agent to get effect quickly, and to quickly construct surrounded conduct by mobile groups, the conduct of the system to achieve the global optimum effect.
Index Terms:
reinforcement learning, multi-agent simulation, collective siege, gathered from space
Citation:
Shu Da Wang, Shuo Ning Wang, Wei Ping Zhang, "Study on Multi-agent Simulation System Based on Reinforcement Learning Algorithm," csie, vol. 5, pp.523-527, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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