most citedA modular framework for stabilizing deep reinforcement learning control

2 citations · 2 across the 2 of their papers we have counts for

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2 papers

eess.SY2023

Reinforcement Learning with Partial Parametric Model Knowledge

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

We adapt reinforcement learning (RL) methods for continuous control to bridge the gap between complete ignorance and perfect knowledge of the environment. Our method, Partial Knowl…

eess.SY2023★ 2 cited

A modular framework for stabilizing deep reinforcement learning control

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…