most citedReinforcement Learning-based Model Predictive Control for Greenhouse Climate Control

28 citations

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eess.SY2024★ 5 cited

GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systems

Bart van Laatum, Eldert J. van Henten, Sjoerd Boersma

This study presents GreenLight-Gym, a new, fast, open-source benchmark environment for developing reinforcement learning (RL) methods in greenhouse crop production control. Built o…

eess.SY2024★ 28 cited

Reinforcement Learning-based Model Predictive Control for Greenhouse Climate Control

Samuel Mallick, Filippo Airaldi, Azita Dabiri +2

Greenhouse climate control is concerned with maximizing performance in terms of crop yield and resource efficiency. One promising approach is model predictive control (MPC), which…