most citedA view on learning robust goal-conditioned value functions: Interplay between RL and MPC

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eess.SY2025

Local-Global Learning of Interpretable Control Policies: The Interface between MPC and Reinforcement Learning

Thomas Banker, Nathan P. Lawrence, Ali Mesbah

Making optimal decisions under uncertainty is a shared problem among distinct fields. While optimal control is commonly studied in the framework of dynamic programming, it is appro…

eess.SY2025

A view on learning robust goal-conditioned value functions: Interplay between RL and MPC

Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes +2

Reinforcement learning (RL) and model predictive control (MPC) offer a wealth of distinct approaches for automatic decision-making under uncertainty. Given the impact both fields h…