Model-based reinforcement learning for offline zero-sum Markov games
Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan
| Year of publication: |
2024
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|---|---|
| Authors: | Yan, Yuling ; Li, Gen ; Chen, Yuxin ; Fan, Jianqing |
| Published in: |
Operations research. - Linthicum, Md. : INFORMS, ISSN 1526-5463, ZDB-ID 2019440-7. - Vol. 72.2024, 6, p. 2430-2445
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| Subject: | curse of multiple agents | Machine Learning and Data Science | minimax optimality | model-based approach | Nash equilibrium | offline RL | unilateral coverage | zero-sum Markov games | Markov-Kette | Markov chain | Künstliche Intelligenz | Artificial intelligence | Spieltheorie | Game theory | Nash-Gleichgewicht | Lernprozess | Learning process |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/opre.2022.0342 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10015371449