哈尔滨工业大学学报（英文版）2009，Vol.16Issue(4)：513-519,7.
Study and application of reinforcement learning based on DAI in cooperative strategy of robot soccer
Study and application of reinforcement learning based on DAI in cooperative strategy of robot soccer
GUO Qi 1ZHANG Da-zhi 1YANG Yong-tian2
作者信息
- 1. Harbin Institute of Technology
- 2. Harbin Engineering University
- 折叠
摘要
Abstract
A dynamic cooperation model of multi-agent is established by combining reinforcement learning with distributed artificial intelligence (DAI), in which the concept of individual optimization loses its meaning be-cause of the dependence of repayment on each agent itself and the choice of other agents. Utilizing the idea of DAI, the intellectual unit of each robot and the change of task and environment, each agent can make decisions independently and finish various complicated tasks by communication and reciprocation between each other. The method is superior to other reinforcement learning methods commonly used in the multi-agent system. It can im-prove the convergence velocity of reinforcement learning, decrease requirements of computer memory, and en-hance the capability of computing and logical ratiocinating for agent. The result of a simulated robot soccer match proves that the proposed cooperative strategy is valid.关键词
robot soccer/ reinforcement learning/ cooperative strategy/ distributed artificial intelligenceKey words
robot soccer/ reinforcement learning/ cooperative strategy/ distributed artificial intelligence分类
信息技术与安全科学引用本文复制引用
GUO Qi,ZHANG Da-zhi,YANG Yong-tian..Study and application of reinforcement learning based on DAI in cooperative strategy of robot soccer[J].哈尔滨工业大学学报（英文版）,2009,16(4):513-519,7.
