On the basis of theoretical analysis, the cooperative game reinforcement learning method is proposed and its convergence is proved.
在理论分析的基础上,提出了协同博弈的强化学习算法,并证明了算法的收敛性。
MAXQ, a hierarchical reinforcement learning method for multi-agent system, is proposed in recent years.
MAXQ分层多智能体学习方法是近年来被提出的一种新方法。
Tis paper presents two-layer reinforcement learning method for multi-agent cooperation.
提出了多智能体协作的两层强化学习方法。