A Physics-Informed Reinforcement Learning Framework for HVAC Optimization: Thermodynamically-Constrained Deep Deterministic Policy Gradients with Simulation-Based Validation
Hedayat, S.; Ziarati, T.; Manganelli, M.
Energies 2025, 18, 6310. MDPI
A physics-informed reinforcement learning framework for HVAC optimization that combines thermodynamic constraints with deep deterministic policy gradients and simulation-based validation for building systems.