GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systems
- DOI
- 10.1016/j.ifacol.2025.11.827
- Published
- 2025
- Container
- IFAC-PapersOnLine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ifacol.2025.11.827,
title = {GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systems},
author = {Bart van Laatum and Eldert J. van Henten and Sjoerd Boersma},
year = {2025},
journal = {IFAC-PapersOnLine},
doi = {10.1016/j.ifacol.2025.11.827},
url = {https://doi.org/10.1016/j.ifacol.2025.11.827}
}RIS
TY - JOUR TI - GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systems AU - Bart van Laatum AU - Eldert J. van Henten AU - Sjoerd Boersma PY - 2025 JO - IFAC-PapersOnLine DO - 10.1016/j.ifacol.2025.11.827 UR - https://doi.org/10.1016/j.ifacol.2025.11.827 ER -
APA
Laatum, B. V., Henten, E. J. V., & Boersma, S. (2025). GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systems. IFAC-PapersOnLine. https://doi.org/10.1016/j.ifacol.2025.11.827
Source records
- crossref · retrieved 2026-09-25T12:39:24.487Z