Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior

Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang +2

We propose a framework for the design of feedback controllers that combines the optimization-driven and model-free advantages of deep reinforcement learning with the stability guar…