Jeremy Morton
Jeremy Morton
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Imitating driver behavior with generative adversarial networks
A Kuefler, J Morton, T Wheeler, M Kochenderfer
2017 IEEE Intelligent Vehicles Symposium (IV), 204-211, 2017
Analysis of recurrent neural networks for probabilistic modeling of driver behavior
J Morton, TA Wheeler, MJ Kochenderfer
IEEE Transactions on Intelligent Transportation Systems 18 (5), 1289-1298, 2016
Deep dynamical modeling and control of unsteady fluid flows
J Morton, A Jameson, MJ Kochenderfer, F Witherden
Advances in Neural Information Processing Systems 31, 2018
Multi-agent imitation learning for driving simulation
RP Bhattacharyya, DJ Phillips, B Wulfe, J Morton, A Kuefler, ...
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning
KT Carlberg, A Jameson, MJ Kochenderfer, J Morton, L Peng, ...
Journal of Computational Physics 395, 105-124, 2019
Simultaneous policy learning and latent state inference for imitating driver behavior
J Morton, MJ Kochenderfer
2017 IEEE 20th International Conference on Intelligent Transportation …, 2017
Deep variational Koopman models: Inferring Koopman observations for uncertainty-aware dynamics modeling and control
J Morton, FD Witherden, MJ Kochenderfer
arXiv preprint arXiv:1902.09742, 2019
Modeling human driving behavior through generative adversarial imitation learning
R Bhattacharyya, B Wulfe, D Phillips, A Kuefler, J Morton, R Senanayake, ...
arXiv preprint arXiv:2006.06412, 2020
Closed-loop policies for operational tests of safety-critical systems
J Morton, TA Wheeler, MJ Kochenderfer
IEEE Transactions on Intelligent Vehicles 3 (3), 317-328, 2018
Impact response of elasto-plastic granular chains containing an intruder particle
R Kumar Pal, J Morton, E Wang, J Lambros, PH Geubelle
Journal of Applied Mechanics 82 (1), 2015
Parameter-conditioned sequential generative modeling of fluid flows
J Morton, MJ Kochenderfer, FD Witherden
AIAA Journal 59 (3), 825-841, 2021
CS231n Project Report Deep Learning of Spatial and Temporal Features for Automotive Prediction
J Morton, TA Wheeler
last modified Mar 23, 9, 2016
Deep Reinforcement Learning
J Morton
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