A reinforcement learning optimized negotiation method based on mediator agent

作者：Chen, Lihong; Dong, Hongbin^*; Zhou, Yang

来源：Expert Systems with Applications, 2014, 41(16): 7630-7640.

DOI：10.1016/j.eswa.2014.06.003

• Multi-agent system
• Reinforcement learning
• Optimized negotiation
• Mediator agent
• Negotiation strategy
• Adaptive learning

This paper firstly proposes a bilateral optimized negotiation model based on reinforcement learning. This model negotiates on the issue price and the quantity, introducing a mediator agent as the mediation mechanism, and uses the improved reinforcement learning negotiation strategy to produce the optimal proposal. In order to further improve the performance of negotiation, this paper then proposes a negotiation method based on the adaptive learning of mediator agent. The simulation results show that the proposed negotiation methods make the efficiency and the performance of the negotiation get improved.

• 出版日期2014-11-15
• 单位哈尔滨工程大学