Brian Goldfain

IEEE Robotics Autom. Lett., 2019

Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics.

[BibT_eX]

[DOI]

CoRR, 2019

Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Information-Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2018

AutoRally An open platform for aggressive autonomous driving.

[BibT_eX]

[DOI]

CoRR, 2018

Robust Sampling Based Model Predictive Control with Sparse Objective Information.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIV, 2018

Best Response Model Predictive Control for Agile Interactions Between Autonomous Ground Vehicles.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Autonomous Racing with AutoRally Vehicles and Differential Games.

[BibT_eX]

[DOI]

CoRR, 2017

Aggressive Deep Driving: Model Predictive Control with a CNN Cost Model.

[BibT_eX]

[DOI]

Paul Drews

CoRR, 2017

Information theoretic MPC for model-based reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Aggressive Deep Driving: Combining Convolutional Neural Networks and Model Predictive Control.

[BibT_eX]

[DOI]

Paul Drews

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016

Aggressive driving with model predictive path integral control.

[BibT_eX]

[DOI]