摘要
RoboCup仿真比赛平台提供了一个完全分布式控制、实时异步多智能体的环境,从而为多智能体的智能控制和人工智能理论的研究提供了绝佳的实验平台。文中提出了一种基于共享经验策略的分布式Q-学习模型,应用于RoboCup仿真实验中,取得了较好的效果。
Robocup soccer simulation provides a totally distributed control and real-time asynchronous multi-agent environment.It is an excellent platform for the research of multi-agent intelligent control and artificial intelligence theory.The paper presents a model based on the experience-shared distributed Q-learning,which is used in Robocup simulation experiments and gets a good result.
出处
《微计算机信息》
2010年第8期25-26,共2页
Control & Automation