Subtype prediction in pediatric acute myeloid leukemia: classification using differential network rank conservation revisited. - Askar Obulkasim; Maarten Fornerod; Michel Zwaan; Dirk Reinhardt; Marry M. van den Heuvel-Eibrink (BMC Bioinform., 2015)

A Symmetry Calibration Procedure for Sensor-to-Airframe Misalignments in Wind Tunnel Data. - Dirk Reinhardt; Morten Dinhoff Pedersen; Kristoffer Gryte; Tor Arne Johansen (CCTA, 2022)

Fixed-Wing UAV Path-Following Control via NMPC on the Lowest Level. - Dirk Reinhardt; Sebastien Gros; Tor Arne Johansen (CCTA, 2023)

Data-Driven Predictive Control for Nonlinear Systems Using Feature Selection. - Dirk Reinhardt; Sébastien Gros (CDC, 2023)

Model-Free Data-Driven Predictive Control Using Reinforcement Learning. - Shambhuraj Sawant; Dirk Reinhardt; Arash Bahari Kordabad; Sebastien Gros (CDC, 2023)

A Painless Deterministic Policy Gradient Method for Learning-based MPC. - Akhil S. Anand; Dirk Reinhardt; Shambhuraj Sawant; Jan Tommy Gravdahl; Sebastien Gros (ECC, 2023)

A Learning-Based Model Predictive Control Strategy for Home Energy Management Systems. - Wenqi Cai; Shambhuraj Sawant; Dirk Reinhardt; Soroush Rastegarpour; Sébastien Gros (IEEE Access, 2023)

Learning-based MPC from Big Data Using Reinforcement Learning. - Shambhuraj Sawant; Akhil S. Anand; Dirk Reinhardt; Sebastien Gros (CoRR, 2023)

Deep active learning for nonlinear system identification. - Erlend Torje Berg Lundby; Adil Rasheed; Ivar Johan Halvorsen; Dirk Reinhardt; Sebastien Gros; Jan Tommy Gravdahl (CoRR, 2023)

MPC4RL - A Software Package for Reinforcement Learning based on Model Predictive Control. - Dirk Reinhardt; Katrin Baumgärtner; Jonathan Frey; Moritz Diehl; Sebastien Gros (CDC, 2024)

Control of Fixed-Wing UAVs in Icing Conditions Using Nonlinear Model Predictive Control. - N. Adelina Ghindaoanu; Kristoffer Gryte; Dirk Reinhardt; Tor Arne Johansen (ECC, 2024)

Data-Driven Domestic Flexible Demand: Observations from experiments in cold climate. - Dirk Reinhardt; Wenqi Cai; Sebastien Gros (CoRR, 2024)

Economic Model Predictive Control as a Solution to Markov Decision Processes. - Dirk Reinhardt; Akhil S. Anand; Shambhuraj Sawant; Sebastien Gros (CoRR, 2024)

Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments. - Eivind Bøhn; Erlend M. Coates; Dirk Reinhardt; Tor Arne Johansen (IEEE Trans. Neural Networks Learn. Syst., 2024)

All AI Models are Wrong, but Some are Optimal. - Akhil S. Anand; Shambhuraj Sawant; Dirk Reinhardt; Sebastien Gros (CoRR, 2025)

MPC4RL - A Software Package for Reinforcement Learning based on Model Predictive Control. - Dirk Reinhardt; Katrin Baumgärnter; Jonathan Frey; Moritz Diehl; Sebastien Gros (CoRR, 2025)

Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification. - Rudolf Reiter; Jasper Hoffmann; Dirk Reinhardt; Florian Messerer; Katrin Baumgärtner; Shamburaj Sawant; Joschka Boedecker; Moritz Diehl; Sebastien Gros (CoRR, 2025)

Differentiable Nonlinear Model Predictive Control. - Jonathan Frey; Katrin Baumgärtner; Gianluca Frison; Dirk Reinhardt; Jasper Hoffmann; Leonard Fichtner; Sebastien Gros; Moritz Diehl (CoRR, 2025)