Xue Bin Peng

According to our database, Xue Bin Peng authored at least 40 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control.

Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath

CoRR, 2024

Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation.

Mathis Petrovich, Or Litany, Umar Iqbal, Michael J. Black, Gül Varol, Xue Bin Peng, Davis Rempe

CoRR, 2024

2023

Learning Physically Simulated Tennis Skills from Broadcast Videos.

Haotian Zhang, Ye Yuan, Viktor Makoviychuk, Yunrong Guo, Sanja Fidler, Xue Bin Peng, Kayvon Fatahalian

ACM Trans. Graph., August, 2023

Trajeglish: Learning the Language of Driving Scenarios.

Jonah Philion, Xue Bin Peng, Sanja Fidler

CoRR, 2023

RoboPianist: A Benchmark for High-Dimensional Robot Control.

Kevin Zakka, Laura M. Smith, Nimrod Gileadi, Taylor A. Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel

CoRR, 2023

Robust and Versatile Bipedal Jumping Control through Multi-Task Reinforcement Learning.

Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath

CoRR, 2023

CALM: Conditional Adversarial Latent Models for Directable Virtual Characters.

Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

Synthesizing Physical Character-Scene Interactions.

Mohamed Hassan, Yunrong Guo, Tingwu Wang, Michael J. Black, Sanja Fidler, Xue Bin Peng

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

Learning and Adapting Agile Locomotion Skills by Transferring Experience.

Laura M. Smith, J. Chase Kew, Tianyu Li, Linda Luu, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Robust and Versatile Bipedal Jumping Control through Reinforcement Learning.

Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Video Prediction Models as Rewards for Reinforcement Learning.

Alejandro Escontrela, Ademi Adeniji, Wilson Yan, Ajay Jain, Xue Bin Peng, Ken Goldberg, Youngwoon Lee, Danijar Hafner, Pieter Abbeel

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Creating a Dynamic Quadrupedal Robotic Goalkeeper with Reinforcement Learning.

Xiaoyu Huang, Zhongyu Li, Yanzhen Xiang, Yiming Ni, Yufeng Chi, Yunhao Li, Lizhi Yang, Xue Bin Peng, Koushil Sreenath

IROS, 2023

Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion.

Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning.

Kevin Zakka, Philipp Wu, Laura M. Smith, Nimrod Gileadi, Taylor Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel

Proceedings of the Conference on Robot Learning, 2023

2022

ASE: large-scale reusable adversarial skill embeddings for physically simulated characters.

Xue Bin Peng, Yunrong Guo, Lina Halper, Sergey Levine, Sanja Fidler

ACM Trans. Graph., 2022

CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery.

Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel

CoRR, 2022

PADL: Language-Directed Physics-Based Character Control.

Jordan Juravsky, Yunrong Guo, Sanja Fidler, Xue Bin Peng

Proceedings of the SIGGRAPH Asia 2022 Conference Papers, 2022

Unsupervised Reinforcement Learning with Contrastive Intrinsic Control.

Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot.

Yandong Ji, Zhongyu Li, Yinan Sun, Xue Bin Peng, Sergey Levine, Glen Berseth, Koushil Sreenath

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions.

Alejandro Escontrela, Xue Bin Peng, Wenhao Yu, Tingnan Zhang, Atil Iscen, Ken Goldberg, Pieter Abbeel

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World.

Laura M. Smith, J. Chase Kew, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots.

Gilbert Feng, Hongbo Zhang, Zhongyu Li, Xue Bin Peng, Bhuvan Basireddy, Linzhu Yue, Zhitao Song, Lizhi Yang, Yunhui Liu, Koushil Sreenath, Sergey Levine

Proceedings of the Conference on Robot Learning, 2022

2021

AMP: adversarial motion priors for stylized physics-based character control.

Xue Bin Peng, Ze Ma, Pieter Abbeel, Sergey Levine, Angjoo Kanazawa

ACM Trans. Graph., 2021

Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots.

Zhongyu Li, Xuxin Cheng, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Offline Meta-Reinforcement Learning with Advantage Weighting.

Eric Mitchell, Rafael Rafailov, Xue Bin Peng, Sergey Levine, Chelsea Finn

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Learning Agile Robotic Locomotion Skills by Imitating Animals.

Xue Bin Peng, Erwin Coumans, Tingnan Zhang, Tsang-Wei Edward Lee, Jie Tan, Sergey Levine

Proceedings of the Robotics: Science and Systems XVI, 2020

Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives.

Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine, Yoshua Bengio

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Reward-Conditioned Policies.

Aviral Kumar, Xue Bin Peng, Sergey Levine

CoRR, 2019

Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning.

Xue Bin Peng, Aviral Kumar, Grace Zhang, Sergey Levine

CoRR, 2019

MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies.

Xue Bin Peng, Michael Chang, Grace Zhang, Pieter Abbeel, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On Learning Symmetric Locomotion.

Farzad Abdolhosseini, Hung Yu Ling, Zhaoming Xie, Xue Bin Peng, Michiel van de Panne

Proceedings of the Motion, Interaction and Games, 2019

Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow.

Xue Bin Peng, Angjoo Kanazawa, Sam Toyer, Pieter Abbeel, Sergey Levine

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

SFV: reinforcement learning of physical skills from videos.

Xue Bin Peng, Angjoo Kanazawa, Jitendra Malik, Pieter Abbeel, Sergey Levine

ACM Trans. Graph., 2018

DeepMimic: example-guided deep reinforcement learning of physics-based character skills.

Xue Bin Peng, Pieter Abbeel, Sergey Levine, Michiel van de Panne

ACM Trans. Graph., 2018

Terrain RL Simulator.

Glen Berseth, Xue Bin Peng, Michiel van de Panne

CoRR, 2018

Sim-to-Real Transfer of Robotic Control with Dynamics Randomization.

Xue Bin Peng, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

DeepLoco: dynamic locomotion skills using hierarchical deep reinforcement learning.

Xue Bin Peng, Glen Berseth, KangKang Yin, Michiel van de Panne

ACM Trans. Graph., 2017

Learning locomotion skills using DeepRL: does the choice of action space matter?

Xue Bin Peng, Michiel van de Panne

Proceedings of the ACM SIGGRAPH / Eurographics Symposium on Computer Animation, 2017

2016

Terrain-adaptive locomotion skills using deep reinforcement learning.

Xue Bin Peng, Glen Berseth, Michiel van de Panne

ACM Trans. Graph., 2016

2015

Dynamic terrain traversal skills using reinforcement learning.

Xue Bin Peng, Glen Berseth, Michiel van de Panne

ACM Trans. Graph., 2015