多智能体系统中的分布式强化学习研究现状

对目前世界上分布式强化学习方法的研究成果加以总结,分析比较了独立强化学习、社会强化学习和群体强化学习三类分布式强化学习方法的特点、差别和适用范围,并对分布式强化学习仍需解决的问题和未来的发展方向进行了探讨。

The achievements in distributed reinforcement learning algorithms are introduced. The present distributed reinforcement learning algorithms are classified into three categories, and the characteristics and application ranges of three classes of distributed reinforcement learning algorithms are compared. At the end of the article, the problems to be solved and the futher works are discussed.

中国科学院机器人学开放研究实验室基金(RL2000106);; 某国防基础研究基金