Dirk Reinhardt

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 13

Top Topics

Predictive Control

Markov Decision Process

Reinforcement Learning

Top Venues

Publications

Dirk Reinhardt, Akhil S. Anand, Shambhuraj Sawant, Sebastien Gros
Economic Model Predictive Control as a Solution to Markov Decision Processes. CoRR (2024)
Eivind Bøhn, Erlend M. Coates, Dirk Reinhardt, Tor Arne Johansen
Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
N. Adelina Ghindaoanu, Kristoffer Gryte, Dirk Reinhardt, Tor Arne Johansen
Control of Fixed-Wing UAVs in Icing Conditions Using Nonlinear Model Predictive Control. ECC (2024)
Dirk Reinhardt, Wenqi Cai, Sebastien Gros
Data-Driven Domestic Flexible Demand: Observations from experiments in cold climate. CoRR (2024)
Erlend Torje Berg Lundby, Adil Rasheed, Ivar Johan Halvorsen, Dirk Reinhardt, Sebastien Gros, Jan Tommy Gravdahl
Deep active learning for nonlinear system identification. CoRR (2023)
Akhil S. Anand, Dirk Reinhardt, Shambhuraj Sawant, Jan Tommy Gravdahl, Sebastien Gros
A Painless Deterministic Policy Gradient Method for Learning-based MPC. ECC (2023)
Dirk Reinhardt, Sebastien Gros, Tor Arne Johansen
Fixed-Wing UAV Path-Following Control via NMPC on the Lowest Level. CCTA (2023)
Dirk Reinhardt, Sébastien Gros
Data-Driven Predictive Control for Nonlinear Systems Using Feature Selection. CDC (2023)
Shambhuraj Sawant, Dirk Reinhardt, Arash Bahari Kordabad, Sebastien Gros
Model-Free Data-Driven Predictive Control Using Reinforcement Learning. CDC (2023)
Wenqi Cai, Shambhuraj Sawant, Dirk Reinhardt, Soroush Rastegarpour, Sébastien Gros
A Learning-Based Model Predictive Control Strategy for Home Energy Management Systems. IEEE Access 11 (2023)
Shambhuraj Sawant, Akhil S. Anand, Dirk Reinhardt, Sebastien Gros
Learning-based MPC from Big Data Using Reinforcement Learning. CoRR (2023)
Dirk Reinhardt, Morten Dinhoff Pedersen, Kristoffer Gryte, Tor Arne Johansen
A Symmetry Calibration Procedure for Sensor-to-Airframe Misalignments in Wind Tunnel Data. CCTA (2022)
Eivind Bøhn, Erlend M. Coates, Dirk Reinhardt, Tor Arne Johansen
Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments. CoRR (2021)
Askar Obulkasim, Maarten Fornerod, Michel Zwaan, Dirk Reinhardt, Marry M. van den Heuvel-Eibrink
Subtype prediction in pediatric acute myeloid leukemia: classification using differential network rank conservation revisited. BMC Bioinform. 16 (2015)