关键词: 增强学习, 协商策略, 协商历史

Abstract: Negotiation agent can use reinforcement learning to select its best actions and reach its final goal.This paper proposes an optimized negotiation strategy based on reinforcement learning.In the middle of negotiation process，it makes the best use of the opponent’s negotiation history，in order to quicken the negotiation result convergence and enhance the negotiation result quality.Finally，the algorithm is proved to be effective and practical by experiment.

Key words: reinforcement learning, negotiation strategy, negotiation history