Optimizing high-dimensional stochastic forestry via reinforcement learning
Olli Tahvonen, Antti Suominen, Pekka Malo, Lauri Viitasaari, Vesa-Pekka Parkatti
| Year of publication: |
2022
|
|---|---|
| Authors: | Tahvonen, Olli ; Suominen, Antti ; Malo, Pekka ; Viitasaari, Lauri ; Parkatti, Vesa-Pekka |
| Published in: |
Journal of economic dynamics & control. - Amsterdam [u.a.] : Elsevier, ISSN 0165-1889, ZDB-ID 717409-3. - Vol. 145.2022, p. 1-23
|
| Subject: | Artificial intelligence | Curse of dimensionality | Forestry | Natural resources | Optimal rotation | Reinforcement learning | Stochasticity | Theorie | Theory | Forstwirtschaft | Lernprozess | Learning process | Künstliche Intelligenz | Stochastischer Prozess | Stochastic process | Lernen | Learning | Forstökonomie | Forest economics | Mathematische Optimierung | Mathematical programming | Forstpolitik | Forest policy |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.jedc.2022.104553 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013543249