most citedData-Driven LQR using Reinforcement Learning and Quadratic Neural Networks

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

eess.SY2023

Optimal Observer Design Using Reinforcement Learning and Quadratic Neural Networks

Soroush Asri, Luis Rodrigues

This paper introduces an innovative approach based on policy iteration (PI), a reinforcement learning (RL) algorithm, to obtain an optimal observer with a quadratic cost function.…

eess.SY2023★ 1 cited

Data-Driven LQR using Reinforcement Learning and Quadratic Neural Networks

Soroush Asri, Luis Rodrigues

This paper introduces a novel data-driven approach to design a linear quadratic regulator (LQR) using a reinforcement learning (RL) algorithm that does not require a system model.…