Learning the minimal representation of a continuous state-space Markov decision process from transition data
Amine Bennouna, Dessislava Pachamanova, Georgia Perakis, Omar Skali Lami
| Year of publication: |
2025
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| Authors: | Bennouna, Amine ; Pachamanova, Dessislava A. ; Perakis, Georgia ; Lami, Omar Skali |
| Published in: |
Management science : journal of the Institute for Operations Research and the Management Sciences. - Hanover, Md. : INFORMS, ISSN 1526-5501, ZDB-ID 2023019-9. - Vol. 71.2025, 6, p. 5162-5184
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| Subject: | reinforcement learning | interpretability | data-driven decision making | statistical learning | block Markov decision process | discretization | MDP state aggregation | state representation learning | Lernprozess | Learning process | Markov-Kette | Markov chain | Entscheidung | Decision | Lernen | Learning | Entscheidungstheorie | Decision theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/mnsc.2022.01652 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015446771