Dispatch or Hold? An Inverse Optimization and Reinforcement Learning Approach for Multiobjective On-Demand Delivery
- Yihua Wang ,
Yihua Wang
[email protected]https://orcid.org/0000-0001-9614-8111
Department of Technology and Innovation, University of Southern Denmark, DK-6400 Sønderborg, Denmark; and Logistics and Supply Chain Management, TUM School of Management, Technical University of Munich, 80333 Munich, Germany
- Long He ,
Corresponding Author
Long He
[email protected]https://orcid.org/0000-0002-9951-7450
Mendoza College of Business, University of Notre Dame, Notre Dame, Indiana 46556
- Zhengling Qi ,
Zhengling Qi
[email protected]https://orcid.org/0000-0003-0270-7969
School of Business, The George Washington University, Washington, District of Columbia 20052
- Stefan Minner
Stefan Minner
[email protected]https://orcid.org/0000-0001-6127-8223
Logistics and Supply Chain Management, TUM School of Management, Technical University of Munich, 80333 Munich, Germany; and Munich Data Science Institute, Technical University of Munich, 80333 Munich, Germany
Yihua Wang
[email protected]https://orcid.org/0000-0001-9614-8111
Department of Technology and Innovation, University of Southern Denmark, DK-6400 Sønderborg, Denmark; and Logistics and Supply Chain Management, TUM School of Management, Technical University of Munich, 80333 Munich, Germany
Corresponding Author
Long He
[email protected]https://orcid.org/0000-0002-9951-7450
Mendoza College of Business, University of Notre Dame, Notre Dame, Indiana 46556
Zhengling Qi
[email protected]https://orcid.org/0000-0003-0270-7969
School of Business, The George Washington University, Washington, District of Columbia 20052
Stefan Minner
[email protected]https://orcid.org/0000-0001-6127-8223
Logistics and Supply Chain Management, TUM School of Management, Technical University of Munich, 80333 Munich, Germany; and Munich Data Science Institute, Technical University of Munich, 80333 Munich, Germany
