Differentiable MPC for End-to-end Planning and Control

Brandon Amos, Ivan Dario Jimenez Rodriguez, Jacob Sacks +2

We present foundations for using Model Predictive Control (MPC) as a differentiable policy class for reinforcement learning in continuous state and action spaces. This provides one…