Opportunities for reinforcement learning in stochastic dynamic vehicle routing
Year of publication: |
2023
|
---|---|
Authors: | Hildebrandt, Florentin D. ; Thomas, Barrett W. ; Ulmer, Marlin Wolf |
Published in: |
Computers & operations research : and their applications to problems of world concern ; an international journal. - Oxford [u.a.] : Elsevier, ISSN 0305-0548, ZDB-ID 194012-0. - Vol. 150.2023, p. 1-14
|
Subject: | Stochastic dynamic vehicle routing | Reinforcement learning | Approximate dynamic programming | Mixed integer programming | Combinatorial optimization | Survey | Tourenplanung | Vehicle routing problem | Lernprozess | Learning process | Dynamische Optimierung | Dynamic programming | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Stochastischer Prozess | Stochastic process | Lernen | Learning | Ganzzahlige Optimierung | Integer programming |
-
Dynamic stochastic electric vehicle routing with safe reinforcement learning
Basso, Rafael, (2022)
-
Preemptive depot returns for dynamic same-day delivery
Ulmer, Marlin Wolf, (2019)
-
Dynamic learning and decision making via basis weight vectors
Zhang, Hao, (2022)
- More ...
-
Supervised learning for arrival time estimations in restaurant meal delivery
Hildebrandt, Florentin D., (2022)
-
Hildebrandt, Florentin D., (2023)
-
Ulmer, Marlin Wolf, (2023)
- More ...