Research on parameters of reinforcement learning on multi-agent system
Proceedings of the World Congress on Intelligent Control and Automation (WCICA)(2008)
摘要
Reinforcement learning(RL) has been applied on the testbed of keepaway, a typical multi-agent system. To get the best performances of RL and figure out what influence the learning speed and the finally results, different values of the important variables had been selected in the emulator. The results intimated the influence of each parameter to the course of learning, and established the base of exploring the better values of parameters. This paper is also good for the researches on the effective solution to the problems of huge state spaces. © 2008 IEEE.
更多查看译文
关键词
keepaway,multi-agent system,reinforcement learning,robocup,learning artificial intelligence,automation,system testing,intelligent control,information processing,artificial intelligence,state space,multiagent systems,machine learning,multi agent systems,multi agent system
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要