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Reinforcement Learning of the Prediction Horizon in Model Predictive Control
Model predictive control (MPC) is a powerful trajectory optimization con...
02/22/2021 ∙ by Eivind Bøhn, et al. ∙
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Optimization of the Model Predictive Control Update Interval Using Reinforcement Learning
In control applications there is often a compromise that needs to be mad...
11/26/2020 ∙ by Eivind Bøhn, et al. ∙
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Accelerating Reinforcement Learning with Suboptimal Guidance
Reinforcement Learning in domains with sparse rewards is a difficult pro...
11/21/2019 ∙ by Eivind Bøhn, et al. ∙
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Deep Reinforcement Learning Attitude Control of Fixed-Wing UAVs Using Proximal Policy Optimization
Contemporary autopilot systems for unmanned aerial vehicles (UAVs) are f...
11/13/2019 ∙ by Eivind Bøhn, et al. ∙
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