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Jeremy Morton
Jeremy Morton
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Cited by
Year
Imitating driver behavior with generative adversarial networks
A Kuefler, J Morton, T Wheeler, M Kochenderfer
2017 IEEE intelligent vehicles symposium (IV), 204-211, 2017
4912017
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
2632016
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
1672018
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
1192018
Modeling human driving behavior through generative adversarial imitation learning
R Bhattacharyya, B Wulfe, DJ Phillips, A Kuefler, J Morton, R Senanayake, ...
IEEE Transactions on Intelligent Transportation Systems 24 (3), 2874-2887, 2022
842022
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
712019
Simultaneous policy learning and latent state inference for imitating driver behavior
J Morton, MJ Kochenderfer
2017 IEEE 20th international conference on intelligent transportation …, 2017
472017
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
432019
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), 011002, 2015
122015
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
102018
Parameter-conditioned sequential generative modeling of fluid flows
J Morton, MJ Kochenderfer, FD Witherden
AIAA Journal 59 (3), 825-841, 2021
92021
CS231n Project Report Deep Learning of Spatial and Temporal Features for Automotive Prediction
J Morton, TA Wheeler
last modified Mar 23, 9, 2016
32016
Deep Reinforcement Learning
J Morton
12018
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