68 citations · 199 across the 10 of their papers we have counts for
4 papers · 1 filter
Aggressive Deep Driving: Model Predictive Control with a CNN Cost Model
Paul Drews, Grady Williams, Brian Goldfain +2
We present a framework for vision-based model predictive control (MPC) for the task of aggressive, high-speed autonomous driving. Our approach uses deep convolutional neural networ…
Autonomous Racing with AutoRally Vehicles and Differential Games
Grady Williams, Brian Goldfain, Paul Drews +2
Safe autonomous vehicles must be able to predict and react to the drivers around them. Previous control methods rely heavily on pre-computation and are unable to react to dynamic e…
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving
Grady Williams, Paul Drews, Brian Goldfain +2
We present an information theoretic approach to stochastic optimal control problems that can be used to derive general sampling based optimization schemes. This new mathematical me…
Variational Policy for Guiding Point Processes
Yichen Wang, Grady Williams, Evangelos Theodorou +1
Temporal point processes have been widely applied to model event sequence data generated by online users. In this paper, we consider the problem of how to design the optimal contro…