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News/Calibration-First Reward-Component Auditing for Reinforcement Learning Control in Smart Greenhouses
arxiv
PublishedJuly 15, 2026 at 4:00 AM
—neutral

Calibration-First Reward-Component Auditing for Reinforcement Learning Control in Smart Greenhouses

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arXiv:2607.11959v1 Announce Type: new Abstract: Greenhouse reinforcement learning can test climate-control ideas at a speed and scale that is difficult to achieve with crop experiments alone. For smart-greenhouse control, however, a single simulator return is not enough: a grower or control engineer

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