Daniel Pfrommer

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 9

Top Topics

Model Predictive Control

Imitation Learning

Top Venues

Publications

Adam Block, Daniel Pfrommer, Max Simchowitz
Imitating Complex Trajectories: Bridging Low-Level Stability and High-Level Behavior. CoRR (2023)
Daniel Pfrommer, Max Simchowitz, Tyler Westenbroek, Nikolai Matni, Stephen Tu
The Power of Learned Locally Linear Models for Nonlinear Policy Optimization. CoRR (2023)
Kwangjun Ahn, Daniel Pfrommer, Jack Umenberger, Tobia Marcucci, Zakaria Mhammedi, Ali Jadbabaie
Smooth Model Predictive Control with Applications to Statistical Learning. CoRR (2023)
Adam Block, Ali Jadbabaie, Daniel Pfrommer, Max Simchowitz, Russ Tedrake
Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior. NeurIPS (2023)
Daniel Pfrommer, Max Simchowitz, Tyler Westenbroek, Nikolai Matni, Stephen Tu
The Power of Learned Locally Linear Models for Nonlinear Policy Optimization. ICML (2023)
Daniel Pfrommer, Nikolai Matni
Linear Variational State Space Filtering. CoRR (2022)
Daniel Pfrommer, Thomas T. C. K. Zhang, Stephen Tu, Nikolai Matni
TaSIL: Taylor Series Imitation Learning. CoRR (2022)
Daniel Pfrommer, Thomas T. C. K. Zhang, Stephen Tu, Nikolai Matni
TaSIL: Taylor Series Imitation Learning. NeurIPS (2022)
Stefan Haag, Bharanidhar Duraisamy, Daniel Pfrommer, Wolfgang Koch, Martin Fritzsche, Jürgen Dickmann
UNIFY: Multi-Belief Bayesian Grid Framework based on Automotive Radar. CoRR (2021)