Local-Global Learning of Interpretable Control Polices: The Interface between MPC and Reinforcement Learning
This talk revisits optimal control through the lens of the Bellman equation, emphasizing how optimal control theory and reinforcement learning have developed complementary, yet largely disconnected, perspectives on global optimality.