Last-Iterate Convergence in No-Regret Learning: Games with Reference Effects Under Logit Demand
- Mengzi Amy Guo ,
Mengzi Amy Guo
[email protected]https://orcid.org/0000-0001-8869-4673
Department of Industrial Engineering and Operations Research, University of California, Berkeley, Berkeley, California 94720
- Donghao Ying ,
Donghao Ying
[email protected]https://orcid.org/0009-0001-7329-5917
Department of Industrial Engineering and Operations Research, University of California, Berkeley, Berkeley, California 94720
- Javad Lavaei ,
Javad Lavaei
[email protected]https://orcid.org/0000-0003-4294-1338
Department of Industrial Engineering and Operations Research, University of California, Berkeley, Berkeley, California 94720
- Zuo-Jun Max Shen
Corresponding Author
Zuo-Jun Max Shen
[email protected]https://orcid.org/0000-0003-4538-8312
Department of Industrial Engineering and Operations Research, University of California, Berkeley, Berkeley, California 94720; and Faculty of Engineering and Faculty of Business and Economics, University of Hong Kong, Hong Kong, China
Mengzi Amy Guo
[email protected]https://orcid.org/0000-0001-8869-4673
Department of Industrial Engineering and Operations Research, University of California, Berkeley, Berkeley, California 94720
Donghao Ying
[email protected]https://orcid.org/0009-0001-7329-5917
Department of Industrial Engineering and Operations Research, University of California, Berkeley, Berkeley, California 94720
Javad Lavaei
[email protected]https://orcid.org/0000-0003-4294-1338
Department of Industrial Engineering and Operations Research, University of California, Berkeley, Berkeley, California 94720
Corresponding Author
Zuo-Jun Max Shen
[email protected]https://orcid.org/0000-0003-4538-8312
Department of Industrial Engineering and Operations Research, University of California, Berkeley, Berkeley, California 94720; and Faculty of Engineering and Faculty of Business and Economics, University of Hong Kong, Hong Kong, China
Supplemental Material
The replication files for this article are available HERE.
