research
∙
06/06/2022
Port-Hamiltonian Neural Networks with State Dependent Ports
Hybrid machine learning based on Hamiltonian formulations has recently b...
share
research
∙
11/07/2021
Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments
Attitude control of fixed-wing unmanned aerial vehicles (UAVs)is a diffi...
research
∙
11/07/2021
Optimization of the Model Predictive Control Meta-Parameters Through Reinforcement Learning
Model predictive control (MPC) is increasingly being considered for cont...
research
∙
02/22/2021
Reinforcement Learning of the Prediction Horizon in Model Predictive Control
Model predictive control (MPC) is a powerful trajectory optimization con...
research
∙
11/26/2020
Optimization of the Model Predictive Control Update Interval Using Reinforcement Learning
In control applications there is often a compromise that needs to be mad...
research
∙
11/21/2019
Accelerating Reinforcement Learning with Suboptimal Guidance
Reinforcement Learning in domains with sparse rewards is a difficult pro...
research
∙
11/13/2019
