In simulated winter greenhouse climate control, interactive RL guided by imperfect grower advice improves profit when the advice shapes actions (policy shaping +8.4%, control sharing +6.8%) but reduces profit when it shapes rewards (-9.4%).
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Grower-in-the-Loop Interactive Reinforcement Learning for Greenhouse Climate Control
In simulated winter greenhouse climate control, interactive RL guided by imperfect grower advice improves profit when the advice shapes actions (policy shaping +8.4%, control sharing +6.8%) but reduces profit when it shapes rewards (-9.4%).