Diffusion-Based Approximate MPC: Fast and Consistent Imitation of Multi-Modal Action Distributions
Approximating model predictive control (MPC) using imitation learning (IL) allows for fast control without solving expensive optimization problems online. However, methods that use neural networks in a simple L2-regression setup fail to approximate multi-modal (set-valued) solution distributions cau