default search action
Xue Bin Peng
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j10]Yi Shi
, Jingbo Wang
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
Flexible Motion In-betweening with Diffusion Models. SIGGRAPH (Conference Paper Track) 2024: 69 - [c24]Jordan Juravsky
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
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
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
CALM: Conditional Adversarial Latent Models for Directable Virtual Characters. SIGGRAPH (Conference Paper Track) 2023: 37:1-37:9 - [c16]Mohamed Hassan
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
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
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
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
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
Dynamic terrain traversal skills using reinforcement learning. ACM Trans. Graph. 34(4): 80:1-80:11 (2015)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-08 01:30 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: