Learning in structured MDPs with convex cost functions : improved regret bounds for inventory management
Shipra Agrawal, Randy Jia
| Year of publication: |
2022
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|---|---|
| Authors: | Agrawal, Shipra ; Jia, Randy |
| Published in: |
Operations research. - Linthicum, Md. : INFORMS, ISSN 1526-5463, ZDB-ID 2019440-7. - Vol. 70.2022, 3, p. 1646-1664
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| Subject: | censored demand | inventory control problem | Market Analytics and Revenue Management | online convex optimization | regret bounds | reinforcement learning | Theorie | Theory | Revenue-Management | Revenue management | Lagerhaltungsmodell | Inventory model | Lagermanagement | Warehouse management | Kostenfunktion | Cost function | Bestandsmanagement | Inventory management | Nachfrage | Demand | Mathematische Optimierung | Mathematical programming |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/opre.2022.2263 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013366225