Xinyan Yan

According to our database1, Xinyan Yan authored at least 21 papers between 2015 and 2022.

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Bibliography

2022
Towards Uniformly Superhuman Autonomy via Subdominance Minimization.
Proceedings of the International Conference on Machine Learning, 2022

2021
Explaining fast improvement in online imitation learning.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020
Efficient Trajectory and Policy Optimization Using Dynamics Models.
PhD thesis, 2020

Imitation learning for agile autonomous driving.
Int. J. Robotics Res., 2020

Explaining Fast Improvement in Online Policy Optimization.
CoRR, 2020

2019
Predictor-Corrector Policy Optimization.
Proceedings of the 36th International Conference on Machine Learning, 2019

Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Accelerating Imitation Learning with Predictive Models.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Continuous-time Gaussian process motion planning via probabilistic inference.
Int. J. Robotics Res., 2018

Model-Based Imitation Learning with Accelerated Convergence.
CoRR, 2018

Fast Policy Learning through Imitation and Reinforcement.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Agile Autonomous Driving using End-to-End Deep Imitation Learning.
Proceedings of the Robotics: Science and Systems XIV, 2018

2017
Incremental sparse GP regression for continuous-time trajectory estimation and mapping.
Robotics Auton. Syst., 2017

Manifold Regularization for Kernelized LSTD.
CoRR, 2017

Agile Off-Road Autonomous Driving Using End-to-End Deep Imitation Learning.
CoRR, 2017

Approximately optimal continuous-time motion planning and control via Probabilistic Inference.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Adaptive Probabilistic Trajectory Optimization via Efficient Approximate Inference.
CoRR, 2016

Gaussian Process Motion planning.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
Incremental Sparse GP Regression for Continuous-time Trajectory Estimation & Mapping.
CoRR, 2015

Tactile Teacher: Sensing Finger Tapping in Piano Playing.
Proceedings of the Ninth International Conference on Tangible, 2015


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