Abstract: Traditional reinforcement learning negotiation strategy has the shortcoming of compromising too fast and reduces the utility of agent．Aiming at this problem,improved reinforcement learning bilateral multi-issue negotiation strategy which imports expectation restoration rate to restore the expectation of agent can improve the quality of the negotiation result．This paper analysed the influence of different expectation reduction rate on negotiation and contrasted traditional reinforcement learning negotiation strategies,time-based negotiation strategy and the proposed enhance learning negotiation strategy consultation．The result shows that negotiation strategy can get higher bilateral utility within allowing negotiation turns．

Key words: Negotiation strategy,Reinforcement learning,Expectation restoration rate,Bilateral multi-issue negotiation