Xinyan Yan
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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
992017
Gaussian process motion planning
M Mukadam, X Yan, B Boots
2016 IEEE international conference on robotics and automation (ICRA), 9-15, 2016
582016
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
522018
Fast policy learning through imitation and reinforcement
CA Cheng, X Yan, N Wagener, B Boots
arXiv preprint arXiv:1805.10413, 2018
362018
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
282017
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
212017
Accelerating imitation learning with predictive models
CA Cheng, X Yan, E Theodorou, B Boots
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
142019
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
142015
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
122017
Predictor-corrector policy optimization
CA Cheng, X Yan, N Ratliff, B Boots
International Conference on Machine Learning, 1151-1161, 2019
102019
Adaptive probabilistic trajectory optimization via efficient approximate inference
Y Pan, X Yan, E Theodorou, B Boots
arXiv preprint arXiv:1608.06235, 2016
62016
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
Trajectory-wise control variates for variance reduction in policy gradient methods
CA Cheng, X Yan, B Boots
Conference on Robot Learning, 1379-1394, 2020
32020
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
32020
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
32015
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
32015
Model-based imitation learning with accelerated convergence
CA Cheng, X Yan, E Theodorou, B Boots
arXiv preprint arXiv:1806.04642, 2018
12018
Explaining Fast Improvement in Online Policy Optimization
X Yan, B Boots, CA Cheng
arXiv preprint arXiv:2007.02520, 2020
2020
Accelerating Imitation Learning with Predictive Model
C Ching, X Yan, E Theodorou, B Boots
Proceedings of the International Conference on Artificial Intelligence and …, 2019
2019
Manifold Regularization for Kernelized LSTD
X Yan, K Choromanski, B Boots, V Sindhwani
arXiv preprint arXiv:1710.05387, 2017
2017
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Artiklar 1–20