| Virtual to real reinforcement learning for autonomous driving X Pan, Y You, Z Wang, C Lu BMVC 2017, arXiv preprint arXiv:1704.03952, 2017 | 404 | 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 | 108 | 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 | 74 | 2019 |
| 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 | 57 | 2019 |
| 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 | 34 | 2022 |
| 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 | 23 | 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 | 19 | 2017 |
| Deep reinforcement learning in a monetary model M Chen, A Joseph, M Kumhof, X Pan, X Zhou arXiv preprint arXiv:2104.09368, 2021 | 18 | 2021 |
| 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 | 16 | 2024 |
| 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 | 16 | 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 | 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 | 13 | 2019 |
| 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 | 12 | 2019 |
| 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 | 3 | 2018 |
| 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 | 1 | 2022 |
| Transferable Adversarial Attacks on Deep Reinforcement Learning with Domain Randomization X Pan, Y Cao, X Wu, E Zelikman, C Xiao, Y Sui, R Chakraborty, ... | 1 | 2020 |
| 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 |
John CannyUniversity of California, BerkeleyVerified email at cs.berkeley.edu
