Xinlei Pan

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John CannyUniversity of California, BerkeleyVerified email at cs.berkeley.edu
Yurong YouCornell UniversityVerified email at cornell.edu
Bo LiUniversity of Illinois at Urbana–ChampaignVerified email at illinois.edu
Dawn SongProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Daniel SeitaCarnegie Mellon UniversityVerified email at andrew.cmu.edu
cewu luProfessor of Shanghai Jiao Tong UniversityVerified email at cs.stanford.edu
Ziyan WangRI PhD Student, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Chaowei XiaoAssistant professor at ASUVerified email at umich.edu
Aleksandra FaustGoogle Brain, Mountain View, CAVerified email at google.com
Sehoon HaGeorgia Institute of TechnologyVerified email at gatech.edu
Brian IchterResearch Scientist, Google BrainVerified email at google.com
Tingnan ZhangGoogle BrainVerified email at google.com
Jie TanGoogle BrainVerified email at google.com
Kris KitaniCarnegie Mellon University, Robotics InstituteVerified email at cs.cmu.edu
Eshed Ohn-BarAssistant Professor, Boston UniversityVerified email at bu.edu
Nicholas RhinehartUC BerkeleyVerified email at berkeley.edu
Yuke ZhuAssistant Professor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerified email at caltech.edu
Animesh GargAssistant Professor, University of Toronto, Vector Institute, NvidiaVerified email at cs.toronto.edu
Fisher YuETH ZurichVerified email at ethz.ch

Xinlei Pan

University of California, Berkeley

Verified email at cs.berkeley.edu

Machine Learning Reinforcement Learning Robotics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	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	337	2017
Risk Averse Robust Adversarial Reinforcement Learning X Pan, D Seita, Y Gao, J Canny 2019 IEEE International Conference on Robotics and Automation (ICRA), 2019	78	2019
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	54	2019
An Efficient Minibatch Acceptance Test for Metropolis-Hastings D Seita, X Pan, H Chen, J Canny UAI 2017, 2016	40*	2016
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, 368-376, 2019	36	2019
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	19	2020
Virtual to real reinforcement learning for autonomous driving. arXiv 2017 X Pan, Y You, Z Wang, C Lu arXiv preprint arXiv:1704.03952, 2017	17	2017
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	12	2020
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	12*	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	11	2019
Deep reinforcement learning in a monetary model M Chen, A Joseph, M Kumhof, X Pan, R Shi, X Zhou arXiv preprint arXiv:2104.09368, 2021	10	2021
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	9	2019
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	2	2022
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	2	2018
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	1	2022
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
Characterizing A acks on Deep Reinforcement Learning X Pan, C Xiao, W He, S Yang, J Peng, M Sun, M Liu, B Li, D Song
Transferable Adversarial Attacks on Deep Reinforcement Learning with Domain Randomization X Pan, Y Cao, X Wu, E Zelikman, C Xiao, Y Sui, R Chakraborty, ...

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