Research of Multiagent Coordination and Cooperation Algorithm
Jun Li1, Wen-Long Song1, Yu-Rong He2
(1. College Mechanical and Electrical, Northeast Forestry University, Harbin 150040, China; 2. School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China)
Abstract:
To solve the problem of conflict and deadlock with agents in multiagent system, an algorithm of multiagent coordination and cooperation was proposed. Taking agent in multiagent system as a player, the pursuit problem Markov model was built. The solution was introduced to get the optimal Nash equilibrium by multiagent reinforcement learning. The method of probability and statistics and Bayes formula was used to estimate the policy knowledge of other players. Relative mean deviation method was used to evaluate the confidence degree in order to increase the convergence speed. The simulation results on pursuit problem showed the feasibility and validity of the given algorithm.
Key words: multiagent system Markov games Nash equilibrium reinforcement learning
DOI：10.11916/j.issn.1005-9113.2013.03.018
Clc Number:TP391.9
Fund:
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Research of Multiagent Coordination and Cooperation Algorithm
本站小编 哈尔滨工业大学/2019-10-24
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