Jasper Hoffmann

According to our database, Jasper Hoffmann authored at least 14 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Spectral Alignment in Forward-Backward Representations via Temporal Abstraction.

Seyed Mahdi B. Azad, Jasper Hoffmann, Iman Nematollahi, Hao Zhu, Abhinav Valada, Joschka Boedecker

CoRR, March, 2026

AC4MPC: Actor-Critic Reinforcement Learning for Guiding Model Predictive Control.

Rudolf Reiter, Andrea Ghezzi, Katrin Baumgärtner, Jasper Hoffmann, Robert D. McAllister, Moritz Diehl

IEEE Trans. Control. Syst. Technol., January, 2026

Synthesis of model predictive control and reinforcement learning: Survey and classification.

Rudolf Reiter, Jasper Hoffmann, Dirk Reinhardt, Florian Messerer, Katrin Baumgärtner, Shambhuraj Sawant, Joschka Bödecker, Moritz Diehl, Sebastien Gros

Annu. Rev. Control., 2026

2025

Label-Efficient Point Cloud Segmentation with Active Learning.

Johannes Meyer, Jasper Hoffmann, Felix Schulz, Dominik Merkle, Daniel Büscher, Alexander Reiterer, Joschka Boedecker, Wolfram Burgard

CoRR, December, 2025

Fitting Reinforcement Learning Model to Behavioral Data under Bandits.

Hao Zhu, Jasper Hoffmann, Baohe Zhang, Joschka Boedecker

CoRR, November, 2025

Closing the Sim2Real Performance Gap in RL.

Akhil S. Anand, Shambhuraj Sawant, Jasper Hoffmann, Dirk Reinhardt, Sebastien Gros

CoRR, October, 2025

Differentiable Nonlinear Model Predictive Control.

Jonathan Frey, Katrin Baumgärtner, Gianluca Frison, Dirk Reinhardt, Jasper Hoffmann, Leonard Fichtner, Sebastien Gros, Moritz Diehl

CoRR, May, 2025

Multi-convex Programming for Discrete Latent Factor Models Prototyping.

Hao Zhu, Shengchao Yan, Jasper Hoffmann, Joschka Boedecker

CoRR, April, 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, February, 2025

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

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

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

UDUC: An Uncertainty-Driven Approach for Learning-Based Robust Control.

Yuan Zhang, Jasper Hoffmann, Joschka Boedecker

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

A Hierarchical Approach for Strategic Motion Planning in Autonomous Racing.

Rudolf Reiter, Jasper Hoffmann, Joschka Boedecker, Moritz Diehl

Proceedings of the European Control Conference, 2023

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

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023