PIRS: Physics-Informed Reward Shaping for SAC-Based Building Energy Management 事件

PIRS: Physics-Informed Reward Shaping for SAC-Based Building Energy Management arXiv:2605.28232v1 Announce Type: new Abstract: Occupant comfort and grid-aware energy efficiency are competing objectives whose joint optimization depends critically on how reward functions are specified in deep reinforcement learning (DRL) controllers for buildings. Yet reward design remains largely ad hoc: comfort terms are either hand-tuned heuristics or simple temperature-deviation proxies without explicit groun