A benchmark comparison of imitation learning-based control policies for autonomous racing X Sun, M Zhou, Z Zhuang, S Yang, J Betz, R Mangharam 2023 IEEE Intelligent Vehicles Symposium (IV), 1-5, 2023 | 14 | 2023 |
Mega-dagger: Imitation learning with multiple imperfect experts X Sun, S Yang, R Mangharam arXiv preprint arXiv:2303.00638, 2023 | 10 | 2023 |
A fast singular boundary method for the acoustic design sensitivity analysis of arbitrary two-and three-dimensional structures L Lan, S Cheng, X Sun, W Li, C Yang, F Wang Mathematics 10 (20), 3817, 2022 | 5 | 2022 |
Deep Learning for Optimization of Trajectories for Quadrotors Y Wu, X Sun, I Spasojevic, V Kumar IEEE Robotics and Automation Letters, 2024 | 3* | 2024 |
Iterative deep neural networks based on proximal gradient descent for image restoration T Lv, Z Pan, W Wei, G Yang, J Song, X Wang, L Sun, Q Li, X Sun Plos one 17 (11), e0276373, 2022 | 3 | 2022 |
Drive Right: Shaping Public’s Trust, Understanding, and Preference Towards Autonomous Vehicles Using a Virtual Reality Driving Simulator Z Qiao, X Sun, H Loeb, R Mangharam 2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023 | 2 | 2023 |
Multi-Agent Exploration of an Unknown Sparse Landmark Complex via Deep Reinforcement Learning X Sun, Y Wu, S Bhattacharya, V Kumar arXiv preprint arXiv:2209.11794, 2022 | 1 | 2022 |
Developing Trajectory Planning with Behavioral Cloning and Proximal Policy Optimization for Path-Tracking and Static Obstacle Nudging M Zhou, B Wang, X Sun arXiv preprint arXiv:2409.05289, 2024 | | 2024 |
LEARNING LOCOMOTION FOR QUADRUPED ROBOT BY APPLYING IMITATION AND CURRICULUM ON REINFORCEMENT LEARNING X SUN, Z XU | | |