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Xinlei Pan
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Conference and Workshop Papers
- 2023
- [c13]Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Rebecca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust
, Shimon Whiteson, Dragomir Anguelov, Sergey Levine:
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. IROS 2023: 7553-7560 - [c12]Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp:
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. NeurIPS 2023 - 2022
- [c11]Xinlei Pan, Chaowei Xiao, Warren He, Shuang Yang, Jian Peng, Mingjie Sun, Mingyan Liu, Bo Li, Dawn Song:
Characterizing Attacks on Deep Reinforcement Learning. AAMAS 2022: 1010-1018 - 2021
- [c10]Xinlei Pan, Animesh Garg, Animashree Anandkumar, Yuke Zhu:
Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects. ICRA 2021: 7540-7547 - 2020
- [c9]Xinlei Pan, Tingnan Zhang, Brian Ichter, Aleksandra Faust
, Jie Tan, Sehoon Ha:
Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation. ICRA 2020: 679-685 - 2019
- [c8]Xinlei Pan, Weiyao Wang, Xiaoshuai Zhang, Bo Li, Jinfeng Yi, Dawn Song:
How You Act Tells a Lot: Privacy-Leaking Attack on Deep Reinforcement Learning. AAMAS 2019: 368-376 - [c7]Xinlei Pan, Rudrasis Chakraborty, Stella X. Yu:
Visual Similarity from Optimizing Feature and Memory On A Hypersphere. CVPR Workshops 2019: 13-16 - [c6]Xinlei Pan, Xiangyu Chen, Qi-Zhi Cai, John F. Canny, Fisher Yu:
Semantic Predictive Control for Explainable and Efficient Policy Learning. ICRA 2019: 3203-3209 - [c5]Xinlei Pan, Daniel Seita, Yang Gao, John F. Canny:
Risk Averse Robust Adversarial Reinforcement Learning. ICRA 2019: 8522-8528 - 2018
- [c4]Xinlei Pan, Yilin Shen:
Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning. AAMAS 2018: 1380-1387 - [c3]Daniel Seita, Xinlei Pan, Haoyu Chen, John F. Canny:
An Efficient Minibatch Acceptance Test for Metropolis-Hastings. IJCAI 2018: 5359-5363 - 2017
- [c2]Xinlei Pan, Yurong You, Ziyan Wang, Cewu Lu:
Virtual to Real Reinforcement Learning for Autonomous Driving. BMVC 2017 - [c1]Daniel Seita, Xinlei Pan, Haoyu Chen, John F. Canny:
An Efficient Minibatch Acceptance Test for Metropolis-Hastings. UAI 2017
Informal and Other Publications
- 2023
- [i12]Amir Sadikov, Jamie Wren-Jarvis, Xinlei Pan, Lanya T. Cai, Pratik Mukherjee:
Generalized Diffusion MRI Denoising and Super-Resolution using Swin Transformers. CoRR abs/2303.05686 (2023) - [i11]Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust
, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp:
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. CoRR abs/2310.08710 (2023) - 2022
- [i10]Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Becca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust
, Shimon Whiteson, Dragomir Anguelov, Sergey Levine:
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. CoRR abs/2212.11419 (2022) - 2020
- [i9]Xinlei Pan, Animesh Garg, Animashree Anandkumar, Yuke Zhu:
Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects. CoRR abs/2012.12209 (2020) - 2019
- [i8]Xinlei Pan, Daniel Seita, Yang Gao, John F. Canny:
Risk Averse Robust Adversarial Reinforcement Learning. CoRR abs/1904.00511 (2019) - [i7]Xinlei Pan, Weiyao Wang, Xiaoshuai Zhang, Bo Li, Jinfeng Yi, Dawn Song:
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning. CoRR abs/1904.11082 (2019) - [i6]Chaowei Xiao, Xinlei Pan, Warren He, Jian Peng, Mingjie Sun, Jinfeng Yi, Mingyan Liu, Bo Li, Dawn Song:
Characterizing Attacks on Deep Reinforcement Learning. CoRR abs/1907.09470 (2019) - [i5]Xinlei Pan, Tingnan Zhang, Brian Ichter, Aleksandra Faust, Jie Tan, Sehoon Ha:
Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation. CoRR abs/1909.12971 (2019) - 2018
- [i4]Xinlei Pan, Eshed Ohn-Bar, Nicholas Rhinehart, Yan Xu, Yilin Shen, Kris M. Kitani:
Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning. CoRR abs/1806.08479 (2018) - [i3]Xinlei Pan, Sung-Li Chiang, John F. Canny:
Label and Sample: Efficient Training of Vehicle Object Detector from Sparsely Labeled Data. CoRR abs/1808.08603 (2018) - 2017
- [i2]Yurong You, Xinlei Pan, Ziyan Wang, Cewu Lu:
Virtual to Real Reinforcement Learning for Autonomous Driving. CoRR abs/1704.03952 (2017) - 2016
- [i1]Haoyu Chen, Daniel Seita, Xinlei Pan, John F. Canny:
An Efficient Minibatch Acceptance Test for Metropolis-Hastings. CoRR abs/1610.06848 (2016)
Coauthor Index
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