关键词: 强化学习, 多智能体, 融合, Sarsa（λ）算法

Abstract: Reinforcement learning has been widely applied in many single or multi agents systems as an important machine learning method.However，the learning quality of the reinforcement learning is greatly influenced by the used algorithms and their parameters，different algorithms or a little change of their parameters can lead to large differences in learning qualities.But it is difficult to determine the best algorithm and the optimal parameter when the model of the environment is unavailable.In order to avoid the influence of the parameters，a fused Sarsa learning system based on multi-agent is proposed to deal with the reinforcement learning environment as a multi-agent environment.And a maze experiment show the feasibility and validity of the algorithm.

Key words: reinforcement learning, multi-agent, fusion, Sarsa（λ） algorithm