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2020 – today
- 2024
[j10]Yi Shi
, Jingbo Wang, Xuekun Jiang, Bingkun Lin, Bo Dai, Xue Bin Peng:
Interactive Character Control with Auto-Regressive Motion Diffusion Models. ACM Trans. Graph. 43(4): 143:1-143:14 (2024)- [j9]Chen Tessler, Yunrong Guo, Ofir Nabati, Gal Chechik, Xue Bin Peng:
MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting. ACM Trans. Graph. 43(6): 209:1-209:21 (2024) - [c28]Mathis Petrovich, Or Litany, Umar Iqbal, Michael J. Black, Gül Varol, Xue Bin Peng, Davis Rempe:
Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation. CVPR Workshops 2024: 1911-1921 - [c27]Hongwei Yi, Justus Thies, Michael J. Black, Xue Bin Peng, Davis Rempe:
Generating Human Interaction Motions in Scenes with Text Control. ECCV (4) 2024: 246-263 - [c26]Jonah Philion, Xue Bin Peng, Sanja Fidler:
Trajeglish: Traffic Modeling as Next-Token Prediction. ICLR 2024 - [c25]Setareh Cohan, Guy Tevet, Daniele Reda, Xue Bin Peng, Michiel van de Panne:
Flexible Motion In-betweening with Diffusion Models. SIGGRAPH (Conference Paper Track) 2024: 69 - [c24]Jordan Juravsky, Yunrong Guo, Sanja Fidler, Xue Bin Peng:
SuperPADL: Scaling Language-Directed Physics-Based Control with Progressive Supervised Distillation. SIGGRAPH (Conference Paper Track) 2024: 121 - [i42]Mathis Petrovich, Or Litany, Umar Iqbal, Michael J. Black, Gül Varol, Xue Bin Peng, Davis Rempe:
Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation. CoRR abs/2401.08559 (2024) - [i41]Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath:
Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control. CoRR abs/2401.16889 (2024) - [i40]Hongwei Yi, Justus Thies, Michael J. Black, Xue Bin Peng, Davis Rempe:
Generating Human Interaction Motions in Scenes with Text Control. CoRR abs/2404.10685 (2024) - [i39]Xiaoyu Huang, Yufeng Chi, Ruofeng Wang, Zhongyu Li, Xue Bin Peng, Yakun Sophia Shao, Borivoje Nikolic, Koushil Sreenath:
DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from Offline Datasets. CoRR abs/2404.19264 (2024) - [i38]Setareh Cohan, Guy Tevet, Daniele Reda, Xue Bin Peng, Michiel van de Panne:
Flexible Motion In-betweening with Diffusion Models. CoRR abs/2405.11126 (2024) - [i37]Seungeun Rho, Laura M. Smith, Tianyu Li, Sergey Levine, Xue Bin Peng, Sehoon Ha:
Language Guided Skill Discovery. CoRR abs/2406.06615 (2024) - [i36]Xiaoyu Huang, Qiayuan Liao, Yiming Ni, Zhongyu Li, Laura M. Smith, Sergey Levine, Xue Bin Peng, Koushil Sreenath:
HiLMa-Res: A General Hierarchical Framework via Residual RL for Combining Quadrupedal Locomotion and Manipulation. CoRR abs/2407.06584 (2024) - [i35]Jordan Juravsky, Yunrong Guo, Sanja Fidler, Xue Bin Peng:
SuperPADL: Scaling Language-Directed Physics-Based Control with Progressive Supervised Distillation. CoRR abs/2407.10481 (2024) - [i34]Chen Tessler, Yunrong Guo, Ofir Nabati, Gal Chechik, Xue Bin Peng:
MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting. CoRR abs/2409.14393 (2024) - [i33]Guy Tevet, Sigal Raab, Setareh Cohan, Daniele Reda, Zhengyi Luo, Xue Bin Peng, Amit H. Bermano, Michiel van de Panne:
CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control. CoRR abs/2410.03441 (2024) - [i32]Yanjie Ze, Zixuan Chen, Wenhao Wang, Tianyi Chen, Xialin He, Ying Yuan, Xue Bin Peng, Jiajun Wu:
Generalizable Humanoid Manipulation with Improved 3D Diffusion Policies. CoRR abs/2410.10803 (2024) - [i31]Zixuan Chen, Xialin He, Yen-Jen Wang, Qiayuan Liao, Yanjie Ze, Zhongyu Li, S. Shankar Sastry, Jiajun Wu, Koushil Sreenath, Saurabh Gupta, Xue Bin Peng:
Learning Smooth Humanoid Locomotion through Lipschitz-Constrained Policies. CoRR abs/2410.11825 (2024) - 2023
- [j8]Haotian Zhang, Ye Yuan, Viktor Makoviychuk, Yunrong Guo, Sanja Fidler, Xue Bin Peng, Kayvon Fatahalian:
Learning Physically Simulated Tennis Skills from Broadcast Videos. ACM Trans. Graph. 42(4): 95:1-95:14 (2023) - [c23]Kevin Zakka, Philipp Wu, Laura M. Smith, Nimrod Gileadi, Taylor Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel:
RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning. CoRL 2023: 2975-2994 - [c22]Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany:
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion. CVPR 2023: 13756-13766 - [c21]Xiaoyu Huang, Zhongyu Li, Yanzhen Xiang, Yiming Ni, Yufeng Chi, Yunhao Li, Lizhi Yang, Xue Bin Peng, Koushil Sreenath:
Creating a Dynamic Quadrupedal Robotic Goalkeeper with Reinforcement Learning. IROS 2023: 2715-2722 - [c20]Alejandro Escontrela, Ademi Adeniji, Wilson Yan, Ajay Jain, Xue Bin Peng, Ken Goldberg, Youngwoon Lee, Danijar Hafner, Pieter Abbeel:
Video Prediction Models as Rewards for Reinforcement Learning. NeurIPS 2023 - [c19]Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath:
Robust and Versatile Bipedal Jumping Control through Reinforcement Learning. Robotics: Science and Systems 2023 - [c18]Laura M. Smith, J. Chase Kew, Tianyu Li, Linda Luu, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine:
Learning and Adapting Agile Locomotion Skills by Transferring Experience. Robotics: Science and Systems 2023 - [c17]Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng:
CALM: Conditional Adversarial Latent Models for Directable Virtual Characters. SIGGRAPH (Conference Paper Track) 2023: 37:1-37:9 - [c16]Mohamed Hassan, Yunrong Guo, Tingwu Wang, Michael J. Black, Sanja Fidler, Xue Bin Peng:
Synthesizing Physical Character-Scene Interactions. SIGGRAPH (Conference Paper Track) 2023: 63:1-63:9 - [i30]Jordan Juravsky, Yunrong Guo, Sanja Fidler, Xue Bin Peng:
PADL: Language-Directed Physics-Based Character Control. CoRR abs/2301.13868 (2023) - [i29]Mohamed Hassan, Yunrong Guo, Tingwu Wang, Michael J. Black, Sanja Fidler, Xue Bin Peng:
Synthesizing Physical Character-Scene Interactions. CoRR abs/2302.00883 (2023) - [i28]Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath:
Robust and Versatile Bipedal Jumping Control through Multi-Task Reinforcement Learning. CoRR abs/2302.09450 (2023) - [i27]Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany:
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion. CoRR abs/2304.01893 (2023) - [i26]Kevin Zakka, Laura M. Smith, Nimrod Gileadi, Taylor A. Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel:
RoboPianist: A Benchmark for High-Dimensional Robot Control. CoRR abs/2304.04150 (2023) - [i25]Laura M. Smith, J. Chase Kew, Tianyu Li, Linda Luu, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine:
Learning and Adapting Agile Locomotion Skills by Transferring Experience. CoRR abs/2304.09834 (2023) - [i24]Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng:
CALM: Conditional Adversarial Latent Models for Directable Virtual Characters. CoRR abs/2305.02195 (2023) - [i23]Alejandro Escontrela, Ademi Adeniji, Wilson Yan, Ajay Jain, Xue Bin Peng, Ken Goldberg, Youngwoon Lee, Danijar Hafner, Pieter Abbeel:
Video Prediction Models as Rewards for Reinforcement Learning. CoRR abs/2305.14343 (2023) - [i22]Jonah Philion, Xue Bin Peng, Sanja Fidler:
Trajeglish: Learning the Language of Driving Scenarios. CoRR abs/2312.04535 (2023) - 2022
- [j7]Xue Bin Peng, Yunrong Guo, Lina Halper, Sergey Levine, Sanja Fidler:
ASE: large-scale reusable adversarial skill embeddings for physically simulated characters. ACM Trans. Graph. 41(4): 94:1-94:17 (2022) - [c15]Gilbert Feng, Hongbo Zhang, Zhongyu Li, Xue Bin Peng, Bhuvan Basireddy, Linzhu Yue, Zhitao Song, Lizhi Yang, Yunhui Liu, Koushil Sreenath, Sergey Levine:
GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots. CoRL 2022: 1893-1903 - [c14]Laura M. Smith, J. Chase Kew, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine:
Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World. ICRA 2022: 1593-1599 - [c13]Alejandro Escontrela, Xue Bin Peng, Wenhao Yu, Tingnan Zhang, Atil Iscen, Ken Goldberg, Pieter Abbeel:
Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions. IROS 2022: 25-32 - [c12]Yandong Ji, Zhongyu Li, Yinan Sun, Xue Bin Peng, Sergey Levine, Glen Berseth, Koushil Sreenath:
Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot. IROS 2022: 1479-1486 - [c11]Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel:
Unsupervised Reinforcement Learning with Contrastive Intrinsic Control. NeurIPS 2022 - [c10]Jordan Juravsky, Yunrong Guo, Sanja Fidler, Xue Bin Peng:
PADL: Language-Directed Physics-Based Character Control. SIGGRAPH Asia 2022: 19:1-19:9 - [i21]Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel:
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery. CoRR abs/2202.00161 (2022) - [i20]Alejandro Escontrela, Xue Bin Peng, Wenhao Yu, Tingnan Zhang, Atil Iscen, Ken Goldberg, Pieter Abbeel:
Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions. CoRR abs/2203.15103 (2022) - [i19]Xue Bin Peng, Yunrong Guo, Lina Halper, Sergey Levine, Sanja Fidler:
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters. CoRR abs/2205.01906 (2022) - [i18]Yandong Ji, Zhongyu Li, Yinan Sun, Xue Bin Peng, Sergey Levine, Glen Berseth, Koushil Sreenath:
Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot. CoRR abs/2208.01160 (2022) - [i17]Gilbert Feng, Hongbo Zhang, Zhongyu Li, Xue Bin Peng, Bhuvan Basireddy, Linzhu Yue, Zhitao Song, Lizhi Yang, Yunhui Liu, Koushil Sreenath, Sergey Levine:
GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots. CoRR abs/2209.05309 (2022) - [i16]Xiaoyu Huang, Zhongyu Li, Yanzhen Xiang, Yiming Ni, Yufeng Chi, Yunhao Li, Lizhi Yang, Xue Bin Peng, Koushil Sreenath:
Creating a Dynamic Quadrupedal Robotic Goalkeeper with Reinforcement Learning. CoRR abs/2210.04435 (2022) - 2021
- [b1]Xue Bin Peng:
Acquiring Motor Skills Through Motion Imitation and Reinforcement Learning. University of California, Berkeley, USA, 2021 - [j6]Xue Bin Peng, Ze Ma, Pieter Abbeel, Sergey Levine, Angjoo Kanazawa:
AMP: adversarial motion priors for stylized physics-based character control. ACM Trans. Graph. 40(4): 144:1-144:20 (2021) - [c9]Eric Mitchell, Rafael Rafailov, Xue Bin Peng, Sergey Levine, Chelsea Finn:
Offline Meta-Reinforcement Learning with Advantage Weighting. ICML 2021: 7780-7791 - [c8]Zhongyu Li, Xuxin Cheng, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath:
Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots. ICRA 2021: 2811-2817 - [i15]Zhongyu Li, Xuxin Cheng, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath:
Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots. CoRR abs/2103.14295 (2021) - [i14]Xue Bin Peng, Ze Ma, Pieter Abbeel, Sergey Levine, Angjoo Kanazawa:
AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control. CoRR abs/2104.02180 (2021) - [i13]Laura M. Smith, J. Chase Kew, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine:
Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World. CoRR abs/2110.05457 (2021) - 2020
- [c7]Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine, Yoshua Bengio:
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives. ICLR 2020 - [c6]Xue Bin Peng, Erwin Coumans, Tingnan Zhang, Tsang-Wei Edward Lee, Jie Tan, Sergey Levine:
Learning Agile Robotic Locomotion Skills by Imitating Animals. Robotics: Science and Systems 2020 - [i12]Xue Bin Peng, Erwin Coumans, Tingnan Zhang, Tsang-Wei Edward Lee, Jie Tan, Sergey Levine:
Learning Agile Robotic Locomotion Skills by Imitating Animals. CoRR abs/2004.00784 (2020) - [i11]Eric Mitchell, Rafael Rafailov, Xue Bin Peng, Sergey Levine, Chelsea Finn:
Offline Meta-Reinforcement Learning with Advantage Weighting. CoRR abs/2008.06043 (2020)
2010 – 2019
- 2019
- [c5]Xue Bin Peng, Angjoo Kanazawa, Sam Toyer, Pieter Abbeel, Sergey Levine:
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow. ICLR (Poster) 2019 - [c4]Farzad Abdolhosseini, Hung Yu Ling, Zhaoming Xie, Xue Bin Peng, Michiel van de Panne:
On Learning Symmetric Locomotion. MIG 2019: 19:1-19:10 - [c3]Xue Bin Peng, Michael Chang, Grace Zhang, Pieter Abbeel, Sergey Levine:
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies. NeurIPS 2019: 3681-3692 - [i10]Xue Bin Peng, Michael Chang, Grace Zhang, Pieter Abbeel, Sergey Levine:
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies. CoRR abs/1905.09808 (2019) - [i9]Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine, Yoshua Bengio:
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives. CoRR abs/1906.10667 (2019) - [i8]Xue Bin Peng, Aviral Kumar, Grace Zhang, Sergey Levine:
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning. CoRR abs/1910.00177 (2019) - [i7]Aviral Kumar, Xue Bin Peng, Sergey Levine:
Reward-Conditioned Policies. CoRR abs/1912.13465 (2019) - 2018
- [j5]Xue Bin Peng, Pieter Abbeel, Sergey Levine, Michiel van de Panne:
DeepMimic: example-guided deep reinforcement learning of physics-based character skills. ACM Trans. Graph. 37(4): 143 (2018) - [j4]Xue Bin Peng, Angjoo Kanazawa, Jitendra Malik, Pieter Abbeel, Sergey Levine:
SFV: reinforcement learning of physical skills from videos. ACM Trans. Graph. 37(6): 178 (2018) - [c2]Xue Bin Peng, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel:
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization. ICRA 2018: 1-8 - [i6]Xue Bin Peng, Pieter Abbeel, Sergey Levine, Michiel van de Panne:
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills. CoRR abs/1804.02717 (2018) - [i5]Glen Berseth, Xue Bin Peng, Michiel van de Panne:
Terrain RL Simulator. CoRR abs/1804.06424 (2018) - [i4]Xue Bin Peng, Angjoo Kanazawa, Sam Toyer, Pieter Abbeel, Sergey Levine:
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow. CoRR abs/1810.00821 (2018) - [i3]Xue Bin Peng, Angjoo Kanazawa, Jitendra Malik, Pieter Abbeel, Sergey Levine:
SFV: Reinforcement Learning of Physical Skills from Videos. CoRR abs/1810.03599 (2018) - 2017
- [j3]Xue Bin Peng, Glen Berseth, KangKang Yin, Michiel van de Panne:
DeepLoco: dynamic locomotion skills using hierarchical deep reinforcement learning. ACM Trans. Graph. 36(4): 41:1-41:13 (2017) - [c1]Xue Bin Peng, Michiel van de Panne:
Learning locomotion skills using DeepRL: does the choice of action space matter? Symposium on Computer Animation 2017: 12:1-12:13 - [i2]Xue Bin Peng, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel:
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization. CoRR abs/1710.06537 (2017) - 2016
- [j2]Xue Bin Peng, Glen Berseth, Michiel van de Panne:
Terrain-adaptive locomotion skills using deep reinforcement learning. ACM Trans. Graph. 35(4): 81:1-81:12 (2016) - [i1]Xue Bin Peng, Michiel van de Panne:
Learning Locomotion Skills Using DeepRL: Does the Choice of Action Space Matter? CoRR abs/1611.01055 (2016) - 2015
- [j1]Xue Bin Peng, Glen Berseth, Michiel van de Panne:
Dynamic terrain traversal skills using reinforcement learning. ACM Trans. Graph. 34(4): 80:1-80:11 (2015)
Coauthor Index
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