Imitation Learning from Nonlinear MPC via the Exact Q-Loss and its Gauss-Newton Approximation. - Andrea Ghezzi; Jasper Hoffmann; Jonathan Frey; Joschka Boedecker; Moritz Diehl (CDC, 2023)

A Hierarchical Approach for Strategic Motion Planning in Autonomous Racing. - Rudolf Reiter; Jasper Hoffmann; Joschka Boedecker; Moritz Diehl (ECC, 2023)

UDUC: An Uncertainty-Driven Approach for Learning-Based Robust Control. - Yuan Zhang 027; Jasper Hoffmann; Joschka Boedecker (ECAI, 2024)

PlanNetX: Learning an efficient neural network planner from MPC for longitudinal control. - Jasper Hoffmann; Diego Fernandez Clausen; Julien Brosseit; Julian Bernhard; Klemens Esterle; Moritz Werling; Michael Karg; Joschka Bödecker (L4DC, 2024)

AC4MPC: Actor-Critic Reinforcement Learning for Nonlinear Model Predictive Control. - Rudolf Reiter; Andrea Ghezzi; Katrin Baumgärtner; Jasper Hoffmann; Robert D. McAllister; Moritz Diehl (CoRR, 2024)

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)

Multi-convex Programming for Discrete Latent Factor Models Prototyping. - Hao Zhu; Shengchao Yan; Jasper Hoffmann; Joschka Boedecker (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)