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- W2367524689 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." @default.
- W2367524689 created "2016-06-24" @default.
- W2367524689 creator A5026847323 @default.
- W2367524689 date "2014-01-01" @default.
- W2367524689 modified "2023-09-26" @default.
- W2367524689 title "Bilateral Multi-protocol Negotiation Strategies Based on Reinforcement Learning" @default.
- W2367524689 hasPublicationYear "2014" @default.
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