Simultaneous policy learning and latent state inference for imitating driver behavior. - Jeremy Morton; Mykel J. Kochenderfer (ITSC, 2017)

Imitating driver behavior with generative adversarial networks. - Alex Kuefler; Jeremy Morton; Tim Allan Wheeler; Mykel J. Kochenderfer (Intelligent Vehicles Symposium, 2017)

Optimal Testing of Self-Driving Cars. - Jeremy Morton; Tim Allan Wheeler; Mykel J. Kochenderfer (CoRR, 2017)

Analysis of Recurrent Neural Networks for Probabilistic Modeling of Driver Behavior. - Jeremy Morton; Tim Allan Wheeler; Mykel J. Kochenderfer (IEEE Trans. Intell. Transp. Syst., 2017)

Multi-Agent Imitation Learning for Driving Simulation. - Raunak P. Bhattacharyya; Derek J. Phillips; Blake Wulfe; Jeremy Morton; Alex Kuefler; Mykel J. Kochenderfer (IROS, 2018)

Deep Dynamical Modeling and Control of Unsteady Fluid Flows. - Jeremy Morton; Antony Jameson; Mykel J. Kochenderfer; Freddie D. Witherden (NeurIPS, 2018)

Closed-Loop Policies for Operational Tests of Safety-Critical Systems. - Jeremy Morton; Tim Allan Wheeler; Mykel J. Kochenderfer (IEEE Trans. Intell. Veh., 2018)

Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control. - Jeremy Morton; Freddie D. Witherden; Mykel J. Kochenderfer (IJCAI, 2019)

Parameter-Conditioned Sequential Generative Modeling of Fluid Flows. - Jeremy Morton; Freddie D. Witherden; Mykel J. Kochenderfer (CoRR, 2019)

Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning. - Kevin T. Carlberg; Antony Jameson; Mykel J. Kochenderfer; Jeremy Morton; Liqian Peng; Freddie D. Witherden (J. Comput. Phys., 2019)

Modeling Human Driving Behavior Through Generative Adversarial Imitation Learning. - Raunak P. Bhattacharyya; Blake Wulfe; Derek J. Phillips; Alex Kuefler; Jeremy Morton; Ransalu Senanayake; Mykel J. Kochenderfer (IEEE Trans. Intell. Transp. Syst., 2023)