most citedMRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty

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eess.SY2021

Online Policies for Real-Time Control Using MRAC-RL

Anubhav Guha, Anuradha Annaswamy

In this paper, we propose the Model Reference Adaptive Control & Reinforcement Learning (MRAC-RL) approach to developing online policies for systems in which modeling errors occur…

eess.SY2020★ 5 cited

MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty

Anubhav Guha, Anuradha Annaswamy

Reinforcement learning (RL) algorithms have been successfully used to develop control policies for dynamical systems. For many such systems, these policies are trained in a simulat…