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Double Learning Algorithm in Bilateral Multi-Issue Negotiation under Incomplete Information 被引量:1
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作者 曹元大 李剑 《Journal of Beijing Institute of Technology》 EI CAS 2003年第S1期100-103,共4页
In order to enhance the efficiency in bilateral multi-issue negotiation under incomplete information, double learning algorithm that includes Q-learning algorithm and Bayesian learning algorithm is presented. The Q-le... In order to enhance the efficiency in bilateral multi-issue negotiation under incomplete information, double learning algorithm that includes Q-learning algorithm and Bayesian learning algorithm is presented. The Q-learning algorithm is used to learn the weights of issues, and the Bayesian learning algorithm is used to learn the reservation price of issues. Experiments show that the algorithm can help agents to negotiate more efficiently. 展开更多
关键词 bilateral multi-issue negotiation Q-LEARNING Bayesian learning
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