Semibandit Learning for Monotone Stochastic Optimization
- Rohan Ghuge ,
Corresponding Author
Rohan Ghuge
[email protected]https://orcid.org/0000-0002-4681-9121
Department of Information, Risk, and Operations Management, The University of Texas at Austin, Austin, Texas 78712
- Zhengjia Zhuo ,
Zhengjia Zhuo
[email protected]https://orcid.org/0009-0007-8900-2350
Department of Industrial and Operations Engineering, University of Michigan–Ann Arbor, Ann Arbor, Michigan 48109
- Arpit Agarwal,
Arpit Agarwal
[email protected]Computer Science and Engineering, Indian Institute of Technology, Mumbai, Maharashtra 400076, India
- Viswanath Nagarajan
Viswanath Nagarajan
[email protected]https://orcid.org/0000-0002-9514-5581
Department of Industrial and Operations Engineering, University of Michigan–Ann Arbor, Ann Arbor, Michigan 48109
Corresponding Author
Rohan Ghuge
[email protected]https://orcid.org/0000-0002-4681-9121
Department of Information, Risk, and Operations Management, The University of Texas at Austin, Austin, Texas 78712
Zhengjia Zhuo
[email protected]https://orcid.org/0009-0007-8900-2350
Department of Industrial and Operations Engineering, University of Michigan–Ann Arbor, Ann Arbor, Michigan 48109
Arpit Agarwal
[email protected]Computer Science and Engineering, Indian Institute of Technology, Mumbai, Maharashtra 400076, India
Viswanath Nagarajan
[email protected]https://orcid.org/0000-0002-9514-5581
Department of Industrial and Operations Engineering, University of Michigan–Ann Arbor, Ann Arbor, Michigan 48109
