| 基于增强学习的代理谈判模型 |
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| 引用本文： | 张化祥,黄上腾. 基于增强学习的代理谈判模型[J]. 计算机工程, 2004, 30(10): 137-139 |
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| 作者姓名： | 张化祥 黄上腾 |
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| 作者单位： | 上海交通大学计算机科学与工程系,上海,200030;上海交通大学计算机科学与工程系,上海,200030 |
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| 摘 要： | 利用增强学习的Q-leanling理论，构造了一个基于时间信念、价格信念和状态期望Q值的代理谈判模型。将代理交互报价的过程看成代理选择报价行动，实现状态的迁移，可以计算出代理在不同状态采取行动的Q值。代理可以通过修改信念函数及时问贴现率来调整报价。该文实现了谈判模型的报价算法，并从理论和实验数据两方面进行了分析比较。
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| 关 键 词： | 代理 增强学习 报价 时间信念 价格信念 |
| 文章编号： | 1000-3428(2004)10-0137-03 |
Agent Negotiation Model Based on Reinforcement Learning |
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| ZHANG Huaxiang,HUANG Shangteng. Agent Negotiation Model Based on Reinforcement Learning[J]. Computer Engineering, 2004, 30(10): 137-139 |
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| Authors: | ZHANG Huaxiang HUANG Shangteng |
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| Abstract: | An agent negotiation model based on enforcement learning, time belief, price belief and state expected Q value is developed. The alternative pricing process of agents is considered as state transition, and the Q value of the state-action pair can be computed. By modifying belief functions and time discount rate, agent can adjust its pricing. The algorithm of negotiation pricing is implemented. |
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| Keywords: | Agent Reinforcement learning Pricing Time belief Price belief |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
