Imitating driver behavior with generative adversarial networks A Kuefler, J Morton, T Wheeler, M Kochenderfer 2017 IEEE Intelligent Vehicles Symposium (IV), 204-211, 2017 | 205 | 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 | 138 | 2016 |
Deep dynamical modeling and control of unsteady fluid flows J Morton, FD Witherden, A Jameson, MJ Kochenderfer arXiv preprint arXiv:1805.07472, 2018 | 48 | 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 | 43 | 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 | 22 | 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 | 19 | 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 | 7 | 2019 |
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 | 7 | 2015 |
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 | 6 | 2018 |
CS231n Project Report: Deep Learning of Spatial and Temporal Features for Automotive Prediction J Morton, TA Wheeler last modified Mar 23, 9, 2016 | 3 | 2016 |
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 | 2 | 2020 |
Deep Reinforcement Learning J Morton | 1 | 2018 |
Parameter-Conditioned Sequential Generative Modeling of Fluid Flows J Morton, FD Witherden, MJ Kochenderfer arXiv preprint arXiv:1912.06752, 2019 | | 2019 |