Daniel Pfrommer

According to our database, Daniel Pfrommer authored at least 12 papers between 2021 and 2025.

Collaborative distances:

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

2025

A Test-Function Approach to Incremental Stability.

Daniel Pfrommer, Max Simchowitz, Ali Jadbabaie

CoRR, July, 2025

The Pitfalls of Imitation Learning when Actions are Continuous.

Max Simchowitz, Daniel Pfrommer, Ali Jadbabaie

CoRR, March, 2025

The title of the paper.

Max Simchowitz, Daniel Pfrommer, Ali Jadbabaie

Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

2024

Improved Sample Complexity of Imitation Learning for Barrier Model Predictive Control.

Daniel Pfrommer, Swati Padmanabhan, Kwangjun Ahn, Jack Umenberger, Tobia Marcucci, Zakaria Mhammedi, Ali Jadbabaie

CoRR, 2024

On the Sample Complexity of Imitation Learning for Smoothed Model Predictive Control.

Daniel Pfrommer, Swati Padmanabhan, Kwangjun Ahn, Jack Umenberger, Tobia Marcucci, Zakaria Mhammedi, Ali Jadbabaie

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Imitating Complex Trajectories: Bridging Low-Level Stability and High-Level Behavior.

Adam Block, Daniel Pfrommer, Max Simchowitz

CoRR, 2023

Smooth Model Predictive Control with Applications to Statistical Learning.

Kwangjun Ahn, Daniel Pfrommer, Jack Umenberger, Tobia Marcucci, Zakaria Mhammedi, Ali Jadbabaie

CoRR, 2023

Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior.

Adam Block, Ali Jadbabaie, Daniel Pfrommer, Max Simchowitz, Russ Tedrake

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Power of Learned Locally Linear Models for Nonlinear Policy Optimization.

Daniel Pfrommer, Max Simchowitz, Tyler Westenbroek, Nikolai Matni, Stephen Tu

Proceedings of the International Conference on Machine Learning, 2023

2022

Linear Variational State Space Filtering.

Daniel Pfrommer, Nikolai Matni

CoRR, 2022

TaSIL: Taylor Series Imitation Learning.

Daniel Pfrommer, Thomas T. C. K. Zhang, Stephen Tu, Nikolai Matni

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

UNIFY: Multi-Belief Bayesian Grid Framework based on Automotive Radar.

Stefan Haag, Bharanidhar Duraisamy, Daniel Pfrommer, Wolfgang Koch, Martin Fritzsche, Jürgen Dickmann

CoRR, 2021