Direct Loss Minimization Inverse Optimal Control. - Andreas Doerr; Nathan D. Ratliff; Jeannette Bohg; Marc Toussaint; Stefan Schaal (Robotics: Science and Systems, 2015)

Optimizing Long-term Predictions for Model-based Policy Search. - Andreas Doerr; Christian Daniel; Duy Nguyen-Tuong; Alonso Marco; Stefan Schaal; Marc Toussaint; Sebastian Trimpe (CoRL, 2017)

Model-based policy search for automatic tuning of multivariate PID controllers. - Andreas Doerr; Duy Nguyen-Tuong; Alonso Marco; Stefan Schaal; Sebastian Trimpe (ICRA, 2017)

Probabilistic Recurrent State-Space Models. - Andreas Doerr; Christian Daniel; Martin Schiegg; Duy Nguyen-Tuong; Stefan Schaal; Marc Toussaint; Sebastian Trimpe (ICML, 2018)

Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds. - David Reeb; Andreas Doerr; Sebastian Gerwinn; Barbara Rakitsch (NeurIPS, 2018)

Trajectory-Based Off-Policy Deep Reinforcement Learning. - Andreas Doerr; Michael Volpp; Marc Toussaint; Sebastian Trimpe; Christian Daniel (ICML, 2019)

Meta-Learning Acquisition Functions for Bayesian Optimization. - Michael Volpp; Lukas P. Fröhlich; Andreas Doerr; Frank Hutter; Christian Daniel (CoRR, 2019)

Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization. - Michael Volpp; Lukas P. Fröhlich; Kirsten Fischer; Andreas Doerr; Stefan Falkner; Frank Hutter; Christian Daniel (ICLR, 2020)

Models for data-efficient reinforcement learning on real-world applications. - Andreas Doerr (2021)

The Amazon Nova Family of Models: Technical Report and Model Card. - Amazon AGI; Aaron Langford; Aayush Shah; Abhanshu Gupta; Abhimanyu Bhatter; Abhinav Goyal 004; Abhinav Mathur; Abhinav Mohanty; Abhishek Kumar; Abhishek Sethi; Abi Komma; Abner Pena; et al. (CoRR, 2025)