138 citations · 324 across the 6 of their papers we have counts for
9 papers
Modeling Human Driving Behavior through Generative Adversarial Imitation Learning
Raunak Bhattacharyya, Blake Wulfe, Derek Phillips +4
An open problem in autonomous vehicle safety validation is building reliable models of human driving behavior in simulation. This work presents an approach to learn neural driving…
Parameter-Conditioned Sequential Generative Modeling of Fluid Flows
Jeremy Morton, Freddie D. Witherden, Mykel J. Kochenderfer
The computational cost associated with simulating fluid flows can make it infeasible to run many simulations across multiple flow conditions. Building upon concepts from generative…
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control
Jeremy Morton, Freddie D Witherden, Mykel J Kochenderfer
Koopman theory asserts that a nonlinear dynamical system can be mapped to a linear system, where the Koopman operator advances observations of the state forward in time. However, t…
Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning
Kevin T. Carlberg, Antony Jameson, Mykel J. Kochenderfer +3
Data I/O poses a significant bottleneck in large-scale CFD simulations; thus, practitioners would like to significantly reduce the number of times the solution is saved to disk, ye…
Deep Dynamical Modeling and Control of Unsteady Fluid Flows
Jeremy Morton, Freddie D. Witherden, Antony Jameson +1
The design of flow control systems remains a challenge due to the nonlinear nature of the equations that govern fluid flow. However, recent advances in computational fluid dynamics…
Multi-Agent Imitation Learning for Driving Simulation
Raunak P. Bhattacharyya, Derek J. Phillips, Blake Wulfe +3
Simulation is an appealing option for validating the safety of autonomous vehicles. Generative Adversarial Imitation Learning (GAIL) has recently been shown to learn representative…
Closed-Loop Policies for Operational Tests of Safety-Critical Systems
Jeremy Morton, Tim A. Wheeler, Mykel J. Kochenderfer
Manufacturers of safety-critical systems must make the case that their product is sufficiently safe for public deployment. Much of this case often relies upon critical event outcom…
Simultaneous Policy Learning and Latent State Inference for Imitating Driver Behavior
Jeremy Morton, Mykel J. Kochenderfer
In this work, we propose a method for learning driver models that account for variables that cannot be observed directly. When trained on a synthetic dataset, our models are able t…
Imitating Driver Behavior with Generative Adversarial Networks
Alex Kuefler, Jeremy Morton, Tim Wheeler +1
The ability to accurately predict and simulate human driving behavior is critical for the development of intelligent transportation systems. Traditional modeling methods have emplo…