An inverse reinforcement learning method that learns from model predictive control demonstrations reduces smart home energy costs with significantly less data than deep RL baselines.
Physically consistent neural networks for building thermal modeling: theory and analysis,
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HMPC-assisted Adversarial Inverse Reinforcement Learning for Smart Home Energy Management
An inverse reinforcement learning method that learns from model predictive control demonstrations reduces smart home energy costs with significantly less data than deep RL baselines.