Xinyan Yan
Title
Cited by
Cited by
Year
Agile autonomous driving using end-to-end deep imitation learning
Y Pan, CA Cheng, K Saigol, K Lee, X Yan, E Theodorou, B Boots
arXiv preprint arXiv:1709.07174, 2017
1512017
Gaussian process motion planning
M Mukadam, X Yan, B Boots
2016 IEEE international conference on robotics and automation (ICRA), 9-15, 2016
752016
Continuous-time Gaussian process motion planning via probabilistic inference
M Mukadam, J Dong, X Yan, F Dellaert, B Boots
The International Journal of Robotics Research 37 (11), 1319-1340, 2018
712018
Fast policy learning through imitation and reinforcement
CA Cheng, X Yan, N Wagener, B Boots
arXiv preprint arXiv:1805.10413, 2018
492018
Incremental sparse GP regression for continuous-time trajectory estimation and mapping
X Yan, V Indelman, B Boots
Robotics and Autonomous Systems 87, 120-132, 2017
352017
Prediction under uncertainty in sparse spectrum Gaussian processes with applications to filtering and control
Y Pan, X Yan, EA Theodorou, B Boots
International Conference on Machine Learning, 2760-2768, 2017
282017
Accelerating imitation learning with predictive models
CA Cheng, X Yan, E Theodorou, B Boots
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
172019
Tactile teacher: Sensing finger tapping in piano playing
CP Hsiao, R Li, X Yan, EYL Do
Proceedings of the Ninth International Conference on Tangible, Embedded, and …, 2015
162015
Imitation learning for agile autonomous driving
Y Pan, CA Cheng, K Saigol, K Lee, X Yan, EA Theodorou, B Boots
The International Journal of Robotics Research 39 (2-3), 286-302, 2020
152020
Approximately optimal continuous-time motion planning and control via probabilistic inference
M Mukadam, CA Cheng, X Yan, B Boots
2017 IEEE International Conference on Robotics and Automation (ICRA), 664-671, 2017
142017
Predictor-corrector policy optimization
CA Cheng, X Yan, N Ratliff, B Boots
International Conference on Machine Learning, 1151-1161, 2019
132019
Adaptive probabilistic trajectory optimization via efficient approximate inference
Y Pan, X Yan, E Theodorou, B Boots
arXiv preprint arXiv:1608.06235, 2016
82016
Trajectory-wise control variates for variance reduction in policy gradient methods
CA Cheng, X Yan, B Boots
Conference on Robot Learning, 1379-1394, 2020
62020
Learning deep neural network control policies for agile off-road autonomous driving
Y Pan, CA Cheng, K Saigol, K Lee, X Yan, E Theodorou, B Boots
The NIPS Deep Reinforcement Learning Symposium, 2017
52017
Large-scale Gaussian process regression via doubly stochastic gradient descent
X Yan, B Xie, L Song, B Boots, G EDU
The ICML Workshop on Large-Scale Kernel Learning, 2015
52015
Scalable reinforcement learning via trajectory optimization and approximate Gaussian process regression
Y Pan, X Yan, E Theodorou, B Boots
NIPS Workshop on Advances in Approximate Bayesian Inference, 2015
42015
Explaining fast improvement in online policy optimization
X Yan, B Boots, CA Cheng
arXiv preprint arXiv:2007.02520, 2020
12020
Model-based imitation learning with accelerated convergence
CA Cheng, X Yan, E Theodorou, B Boots
arXiv preprint arXiv:1806.04642, 2018
12018
Efficient Trajectory and Policy Optimization Using Dynamics Models
X Yan
Georgia Institute of Technology, 2020
2020
Explaining Fast Improvement in Online Imitation Learning
X Yan, B Boots, CA Cheng
arXiv preprint arXiv:2007.02520, 2020
2020
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