Study on algorithm of group learning-based main agent
Xianyi Cheng, Shuqin Li · Journal of Jiangsu University · 2005
With RoboCup as background, an algorithm of group reinforcement learning is presented based on the conception of main agent and supplementary agent. By transforming the role between main agent and supplementary agent, the traditional group learning algorithm is improved. The experiment shows that the problems of too large of the behaviour state space, the behavior choice in continuous state space and collaborative solution can be solved in RoboCup.