Xue Bin Peng

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 71

Top Topics

Legged Locomotion

Reinforcement Learning

Diffusion Models

Top Venues

ACM Trans. Graph.

SIGGRAPH (Conference Paper Track)

Publications

Seungeun Rho, Laura M. Smith, Tianyu Li, Sergey Levine, Xue Bin Peng, Sehoon Ha
Language Guided Skill Discovery. CoRR (2024)
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 (2024)
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 (2024)
Hongwei Yi, Justus Thies, Michael J. Black, Xue Bin Peng, Davis Rempe
Generating Human Interaction Motions in Scenes with Text Control. CoRR (2024)
Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath
Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control. CoRR (2024)
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 (2024)
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)
Setareh Cohan, Guy Tevet, Daniele Reda, Xue Bin Peng, Michiel van de Panne
Flexible Motion In-betweening with Diffusion Models. CoRR (2024)
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)
Jonah Philion, Xue Bin Peng, Sanja Fidler
Trajeglish: Traffic Modeling as Next-Token Prediction. ICLR (2024)
Jordan Juravsky, Yunrong Guo, Sanja Fidler, Xue Bin Peng
SuperPADL: Scaling Language-Directed Physics-Based Control with Progressive Supervised Distillation. CoRR (2024)
Jonah Philion, Xue Bin Peng, Sanja Fidler
Trajeglish: Learning the Language of Driving Scenarios. CoRR (2023)
Jordan Juravsky, Yunrong Guo, Sanja Fidler, Xue Bin Peng
PADL: Language-Directed Physics-Based Character Control. CoRR (2023)
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)
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)
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)
Mohamed Hassan, Yunrong Guo, Tingwu Wang, Michael J. Black, Sanja Fidler, Xue Bin Peng
Synthesizing Physical Character-Scene Interactions. CoRR (2023)
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)
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)
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)
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 (2023)
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 (2023)
Mohamed Hassan, Yunrong Guo, Tingwu Wang, Michael J. Black, Sanja Fidler, Xue Bin Peng
Synthesizing Physical Character-Scene Interactions. SIGGRAPH (Conference Paper Track) (2023)
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) (2023)
Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng
CALM: Conditional Adversarial Latent Models for Directable Virtual Characters. CoRR (2023)
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)
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 (2023)
Kevin Zakka, Laura M. Smith, Nimrod Gileadi, Taylor Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel
RoboPianist: A Benchmark for High-Dimensional Robot Control. CoRR (2023)
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 (2023)
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)
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) (2022)
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 (2022)
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 (2022)
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)
Jordan Juravsky, Yunrong Guo, Sanja Fidler, Xue Bin Peng
PADL: Language-Directed Physics-Based Character Control. SIGGRAPH Asia (2022)
Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel
Unsupervised Reinforcement Learning with Contrastive Intrinsic Control. NeurIPS (2022)
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)
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)
Xue Bin Peng, Yunrong Guo, Lina Halper, Sergey Levine, Sanja Fidler
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters. CoRR (2022)
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 (2022)
Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery. CoRR (2022)
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 (2022)
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)
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 (2021)
Xue Bin Peng, Ze Ma, Pieter Abbeel, Sergey Levine, Angjoo Kanazawa
AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control. CoRR (2021)
Laura 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 (2021)
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) (2021)
Eric Mitchell, Rafael Rafailov, Xue Bin Peng, Sergey Levine, Chelsea Finn
Offline Meta-Reinforcement Learning with Advantage Weighting. ICML (2021)
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)
Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine, Yoshua Bengio
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives. ICLR (2020)
Eric Mitchell, Rafael Rafailov, Xue Bin Peng, Sergey Levine, Chelsea Finn
Offline Meta-Reinforcement Learning with Advantage Weighting. CoRR (2020)
Xue Bin Peng, Erwin Coumans, Tingnan Zhang, Tsang-Wei Edward Lee, Jie Tan, Sergey Levine
Learning Agile Robotic Locomotion Skills by Imitating Animals. CoRR (2020)
Xue Bin Peng, Michael Chang, Grace Zhang, Pieter Abbeel, Sergey Levine
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies. CoRR (2019)
Farzad Abdolhosseini, Hung Yu Ling, Zhaoming Xie, Xue Bin Peng, Michiel van de Panne
On Learning Symmetric Locomotion. MIG (2019)
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)
Xue Bin Peng, Michael Chang, Grace Zhang, Pieter Abbeel, Sergey Levine
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies. NeurIPS (2019)
Aviral Kumar, Xue Bin Peng, Sergey Levine
Reward-Conditioned Policies. CoRR (2019)
Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine, Yoshua Bengio
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives. CoRR (2019)
Xue Bin Peng, Aviral Kumar, Grace Zhang, Sergey Levine
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning. CoRR (2019)
Glen Berseth, Xue Bin Peng, Michiel van de Panne
Terrain RL Simulator. CoRR (2018)
Xue Bin Peng, Angjoo Kanazawa, Jitendra Malik, Pieter Abbeel, Sergey Levine
SFV: reinforcement learning of physical skills from videos. ACM Trans. Graph. 37 (6) (2018)
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 (2018)
Xue Bin Peng, Pieter Abbeel, Sergey Levine, Michiel van de Panne
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills. CoRR (2018)
Xue Bin Peng, Angjoo Kanazawa, Jitendra Malik, Pieter Abbeel, Sergey Levine
SFV: Reinforcement Learning of Physical Skills from Videos. CoRR (2018)
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) (2018)
Xue Bin Peng, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization. ICRA (2018)
Xue Bin Peng, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization. CoRR (2017)
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) (2017)
Xue Bin Peng, Michiel van de Panne
Learning locomotion skills using DeepRL: does the choice of action space matter? Symposium on Computer Animation (2017)
Xue Bin Peng, Michiel van de Panne
Learning Locomotion Skills Using DeepRL: Does the Choice of Action Space Matter? CoRR (2016)
Xue Bin Peng, Glen Berseth, Michiel van de Panne
Terrain-adaptive locomotion skills using deep reinforcement learning. ACM Trans. Graph. 35 (4) (2016)
Xue Bin Peng, Glen Berseth, Michiel van de Panne
Dynamic terrain traversal skills using reinforcement learning. ACM Trans. Graph. 34 (4) (2015)