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Last round convergence and no-dynamic regret in asymmetric repeated games
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Dinh, Le Cong, Zemhoho, Alain B. and Tran-Thanh, Long (2021) Last round convergence and no-dynamic regret in asymmetric repeated games. In: The 32nd International Conference on Algorithmic Learning Theory, Virtual, 16-19 Mar 2021. Published in: Proceedings of the 32nd International Conference on Algorithmic Learning Theory, 132 pp. 553-577.
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Official URL: http://proceedings.mlr.press/v132/
Item Type: | Conference Item (Paper) | ||||||
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Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
Library of Congress Subject Headings (LCSH): | Differential games, Two-person zero-sum games , Mathematical optimization, Stochastic processes | ||||||
Series Name: | Algorithmic Learning Theory | ||||||
Journal or Publication Title: | Proceedings of the 32nd International Conference on Algorithmic Learning Theory | ||||||
Official Date: | 2021 | ||||||
Dates: |
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Volume: | 132 | ||||||
Page Range: | pp. 553-577 | ||||||
Status: | Peer Reviewed | ||||||
Reuse Statement (publisher, data, author rights): | Copyright © 2021 L.C. Dinh, T.-D. Nguyen, A.B. Zemkoho & L. Tran-Thanh | ||||||
Access rights to Published version: | Free Access (unspecified licence, 'bronze OA') | ||||||
Date of first compliant deposit: | 1 April 2021 | ||||||
Date of first compliant Open Access: | 12 April 2021 | ||||||
Conference Paper Type: | Paper | ||||||
Title of Event: | The 32nd International Conference on Algorithmic Learning Theory | ||||||
Type of Event: | Conference | ||||||
Location of Event: | Virtual | ||||||
Date(s) of Event: | 16-19 Mar 2021 | ||||||
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Open Access Version: |
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