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From Thermal Preference Prediction to Adaptive Thermal Intervention: A Reinforcement Learning Approach Using Physiological and Environmental Sensing

arXiv cs.LG ↗ · 2026-08-24 Cached

This paper introduces a two-stage personalized thermal comfort system using reinforcement learning and multimodal sensing to adapt HVAC controls for individual occupant preferences.

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ADAPT: Physics-Aware Diffusion-based World Models for Adaptive Predictive Transferable HVAC Control

arXiv cs.AI ↗ · 2026-08-21 Cached

ADAPT is a physics-aware conditional diffusion model for HVAC control that reduces energy consumption and occupant discomfort, with robust transferability to unseen environments.

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hvac-control

From Thermal Preference Prediction to Adaptive Thermal Intervention: A Reinforcement Learning Approach Using Physiological and Environmental Sensing

ADAPT: Physics-Aware Diffusion-based World Models for Adaptive Predictive Transferable HVAC Control

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