Dirk Reinhardt

Orcid: 0000-0002-7027-4483

According to our database1, Dirk Reinhardt authored at least 10 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

2023
Deep active learning for nonlinear system identification.
CoRR, 2023

Learning-based MPC from Big Data Using Reinforcement Learning.
CoRR, 2023

A Learning-Based Model Predictive Control Strategy for Home Energy Management Systems.
IEEE Access, 2023

A Painless Deterministic Policy Gradient Method for Learning-based MPC.
Proceedings of the European Control Conference, 2023

Model-Free Data-Driven Predictive Control Using Reinforcement Learning.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Data-Driven Predictive Control for Nonlinear Systems Using Feature Selection.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Fixed-Wing UAV Path-Following Control via NMPC on the Lowest Level.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

2022
A Symmetry Calibration Procedure for Sensor-to-Airframe Misalignments in Wind Tunnel Data.
Proceedings of the IEEE Conference on Control Technology and Applications, 2022

2015
Subtype prediction in pediatric acute myeloid leukemia: classification using differential network rank conservation revisited.
BMC Bioinform., 2015


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