Computer Science ›› 2017, Vol. 44 ›› Issue (1): 53-59.doi: 10.11896/j.issn.1002-137X.2017.01.010
ZHANG Jing-min and DONG Hong-bin
This paper proposed reinforcement learning bilateral optimized negotiation model based on reinforcement learning.The medium agent was introduced.It uses different parameters in the reinforcement learning strategy to produce proposals,and selects the best parameters to negotiate.The purpose is to further improve the performance of negotiation,and then the article presented the learning ability of adaptive based on medium agent.The simulation results show the effectiveness of the proposed method of negotiation and that it can improve the performance of negotiation.
Multi-agent system,Reinforcement learning,Adaptive learning,Medium agent
ZHANG Jing-min and DONG Hong-bin. Optimized Negotiation Model Based on Reinforcement Learning of Medium Agent[J].Computer Science, 2017, 44(1): 53-59.