A strategic learning algorithm for state-based games
文献类型：期刊论文
| 作者 | Li, Changxi2; Xing, Yu1; He, Fenghua2; Cheng, Daizhan1 |
| 刊名 | AUTOMATICA
 |
| 出版日期 | 2020-03-01 |
| 卷号 | 113页码:9 |
| 关键词 | Strategic learning State-based games Recurrent state equilibria Multi-agent systems |
| ISSN号 | 0005-1098 |
| DOI | 10.1016/j.automatica.2019.108615 |
| 英文摘要 | Learning algorithm design and applications of state-based games are investigated. First, a heuristic uncoupled learning algorithm, which is a two memory better reply learning rule, is proposed. Under reachability conditions it is proved that for any initial state, if all agents in the state-based game follow the proposed learning algorithm, the action state pair converges almost surely to an action invariant set of recurrent state equilibria. The design of the learning algorithm relies on global and local searches with finite memory, inertia, and randomness. Then, existence of time-efficient universal learning algorithm is studied. Finally, applications of our proposed learning algorithm are discussed, including learning pure Nash equilibrium in finite games and cooperative control with time-varying communication structure. (C) 2019 Elsevier Ltd. All rights reserved. |
| 资助项目 | National Natural Science Foundation of China (NSFC)[61473099] ; National Natural Science Foundation of China (NSFC)[61773371] ; National Natural Science Foundation of China (NSFC)[61733018] ; National Natural Science Foundation of China (NSFC)[61333001] |
| WOS研究方向 | Automation & Control Systems ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000514216600003 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/50928]  |
| 专题 | 中国科学院数学与系统科学研究院 |
| 通讯作者 | He, Fenghua |
| 作者单位 | 1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 2.Harbin Inst Technol, Control & Simulat Ctr, Harbin 150001, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Changxi,Xing, Yu,He, Fenghua,et al. A strategic learning algorithm for state-based games[J]. AUTOMATICA,2020,113:9. |
| APA | Li, Changxi,Xing, Yu,He, Fenghua,&Cheng, Daizhan.(2020).A strategic learning algorithm for state-based games.AUTOMATICA,113,9. |
| MLA | Li, Changxi,et al."A strategic learning algorithm for state-based games".AUTOMATICA 113(2020):9. |
入库方式： OAI收割
来源：数学与系统科学研究院
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