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.
Coordinated operation optimization of grid-interactive residential buildings based on neural network-assisted hierarchical model predictive control,
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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.