Bilateral Multi-issue Parallel Negotiation Model Based on Reinforcement Learning-Reference-Cited by-同舟云学术

Bilateral Multi-issue Parallel Negotiation Model Based on Reinforcement Learning

Published:2013 Issue: Volume: Page:40-48
ISSN:0302-9743
Container-title:Intelligent Data Engineering and Automated Learning – IDEAL 2013
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Author:

Chen Lihong,Dong Hongbin,Han Qilong,Cui Guangzhe

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-41278-3_6

Reference8 articles.

1. Sun, T., Chen, F., Zhu, Q., Cao, F.: Reinforcement learning negotiation strategy based on bayesian classification. Chinese Journal of Computer Science, 227–229 (2011)

2. Sui, X., Cai, G., Shi, L.: Multi-agent negotiation strategy and algorithm based on Q-Learning. Chinese Journal of computer engineering, 198–200 (2010)

3. Zhang, L., Song, H., Chen, X., Hong, L.: A simultaneous multi-issue negotiation through autonomous agents. European Journal of Operational Research, 95–105 (2010)

4. Lecture Notes in Computer Science;A. Esmaeili,2010

5. Gao, Y., Chen, S., Lu, X.: A research overview on reinforcement learning. Chinese Acta Automatica Sinica, 86–100 (2004)

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