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Xinlei Pan
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Year
Virtual to real reinforcement learning for autonomous driving
X Pan, Y You, Z Wang, C Lu
BMVC 2017, arXiv preprint arXiv:1704.03952, 2017
4032017
Risk Averse Robust Adversarial Reinforcement Learning
X Pan, D Seita, Y Gao, J Canny
2019 IEEE International Conference on Robotics and Automation (ICRA), 2019
1082019
Characterizing Attacks on Deep Reinforcement Learning
X Pan, C Xiao, W He, J Peng, M Sun, J Yi, B Li, D Song
arXiv preprint arXiv:1907.09470, 2019
742019
How You Act Tells a Lot: Privacy-Leaking Attack on Deep Reinforcement Learning.
X Pan, W Wang, X Zhang, B Li, J Yi, D Song
AAMAS 19 (2019), 368-376, 2019
572019
An Efficient Minibatch Acceptance Test for Metropolis-Hastings
D Seita, X Pan, H Chen, J Canny
UAI 2017, 2016
52*2016
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios
Y Lu, J Fu, G Tucker, X Pan, E Bronstein, B Roelofs, B Sapp, B White, ...
NeurIPS 2022, Machine Learning for Autonomous Driving Workshop, 2022
342022
Zero-shot imitation learning from demonstrations for legged robot visual navigation
X Pan, T Zhang, B Ichter, A Faust, J Tan, S Ha
2020 IEEE International Conference on Robotics and Automation (ICRA), 679-685, 2020
232020
Virtual to real reinforcement learning for autonomous driving. arXiv 2017
X Pan, Y You, Z Wang, C Lu
arXiv preprint arXiv:1704.03952, 2017
192017
Deep reinforcement learning in a monetary model
M Chen, A Joseph, M Kumhof, X Pan, X Zhou
arXiv preprint arXiv:2104.09368, 2021
182021
Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research
C Gulino, J Fu, W Luo, G Tucker, E Bronstein, Y Lu, J Harb, X Pan, ...
Advances in Neural Information Processing Systems 36, 2024
162024
Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects
X Pan, A Garg, A Anandkumar, Y Zhu
2021 IEEE International Conference on Robotics and Automation (ICRA), 2020
162020
Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning
Xinlei Pan, Eshed Ohn-Bar, Nicholas Rhinehart, Yan Xu, Yilin Shen, Kris Kitani
Proceedings of the 17th International Conference on Autonomous Agents and …, 2018
16*2018
How you act tells a lot: Privacy-leakage attack on deep reinforcement learning
X Pan, W Wang, X Zhang, B Li, J Yi, D Song
arXiv preprint arXiv:1904.11082, 2019
132019
Semantic predictive control for explainable and efficient policy learning
X Pan, X Chen, Q Cai, J Canny, F Yu
2019 International Conference on Robotics and Automation (ICRA), 3203-3209, 2019
122019
Label and sample: efficient training of vehicle object detector from sparsely labeled data
X Pan, SL Chiang, J Canny
arXiv preprint arXiv:1808.08603, 2018
32018
Systems and methods for training a machine learned model for agent navigation
J Tan, S Ha, T Zhang, X Pan, BA Ichter, A Faust
US Patent 11,436,441, 2022
12022
Transferable Adversarial Attacks on Deep Reinforcement Learning with Domain Randomization
X Pan, Y Cao, X Wu, E Zelikman, C Xiao, Y Sui, R Chakraborty, ...
12020
Characterizing Attacks on Deep Reinforcement Learning
Xinlei Pan, Chaowei Xiao, Warren He, Shuang Yang, Jian Peng, Mingjie Sun ...
Proceedings of the 21st International Conference on Autonomous Agents and …, 2022
2022
Visual Similarity from Optimizing Feature and Memory On A Hypersphere
X Pan, R Chakraborty, S Yu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
2019
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