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20162021
most citedDeep Reinforcement Learning Attitude Control of Fixed-Wing UAVs Using Proximal Policy Optimization

219 citations · 220 across the 3 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

eess.SY2021★ 1 cited

Optimization of the Model Predictive Control Meta-Parameters Through Reinforcement Learning

Eivind Bøhn, Sebastien Gros, Signe Moe +1

Model predictive control (MPC) is increasingly being considered for control of fast systems and embedded applications. However, the MPC has some significant challenges for such sys…

eess.SY2021

Reinforcement Learning of the Prediction Horizon in Model Predictive Control

Eivind Bøhn, Sebastien Gros, Signe Moe +1

Model predictive control (MPC) is a powerful trajectory optimization control technique capable of controlling complex nonlinear systems while respecting system constraints and ensu…