Q-learning Algorithm in Multi-Agent Systems
Xiao Wen-ya · Journal of Henan Normal University · 2013
This paper investigated reinforcement learning in multi-Agent systems.By adding the historical information in learning process and updating the Q learning function,a new algorithm in multi-agents environment was proposed.This algorithm guaranteed the maximization of interests and reduced the conflict rate among multiple Agents.Finally,the effectiveness of the algorithm was verified by the simulation.