{"slug": "calibration-first-reward-component-auditing-for-reinforcement-learning-control", "title": "Calibration-First Reward-Component Auditing for Reinforcement Learning Control in Smart Greenhouses", "summary": "Researchers propose a calibration-first reward audit framework for reinforcement learning control in smart greenhouses, enabling comparison of reward components across simulator training, facility-adapted rollouts, logged competition records, and actuator-rule distillation. The framework decomposes scalar rewards into conditional terms for temperature, CO2, humidity, vapor-pressure deficit, screen, and actuation-proxy, and adapts the GreenLight simulator to the second Autonomous Greenhouse Challenge data.", "body_md": "arXiv:2607.11959v1 Announce Type: new\nAbstract: 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 also needs to know when the policy heats, enriches CO2, vents, manages humidity, deploys screens, or uses lamps.We propose a reproducible calibration-first reward audit framework that keeps named greenhouse-control reward components comparable across simulator training, facility-adapted rollouts, logged Autonomous Greenhouse Challenge records, and actuator-rule distillation. In GreenLight-Gym, the framework decomposes the scalar reward into conditional temperature, CO2, humidity and vapor-pressure-deficit, screen, and actuation-proxy terms; adapts GreenLight to the second Autonomous Greenhouse Challenge logged climate traces; and scores the same components on logged greenhouse data.", "url": "https://wpnews.pro/news/calibration-first-reward-component-auditing-for-reinforcement-learning-control", "canonical_source": "https://arxiv.org/abs/2607.11959", "published_at": "2026-07-15 04:00:00+00:00", "updated_at": "2026-07-15 04:22:20.839855+00:00", "lang": "en", "topics": ["machine-learning", "ai-research"], "entities": ["GreenLight-Gym", "Autonomous Greenhouse Challenge"], "alternates": {"html": "https://wpnews.pro/news/calibration-first-reward-component-auditing-for-reinforcement-learning-control", "markdown": "https://wpnews.pro/news/calibration-first-reward-component-auditing-for-reinforcement-learning-control.md", "text": "https://wpnews.pro/news/calibration-first-reward-component-auditing-for-reinforcement-learning-control.txt", "jsonld": "https://wpnews.pro/news/calibration-first-reward-component-auditing-for-reinforcement-learning-control.jsonld"}}