Bin Peng, Xue

17 publications

ICLR 2025 CLoSD: Closing the Loop Between Simulation and Diffusion for Multi-Task Character Control Guy Tevet, Sigal Raab, Setareh Cohan, Daniele Reda, Zhengyi Luo, Xue Bin Peng, Amit Haim Bermano, Michiel van de Panne
ICLR 2025 Language Guided Skill Discovery Seungeun Rho, Laura Smith, Tianyu Li, Sergey Levine, Xue Bin Peng, Sehoon Ha
CoRL 2025 TWIST: Teleoperated Whole-Body Imitation System Yanjie Ze, Zixuan Chen, Joao Pedro Araujo, Zi-ang Cao, Xue Bin Peng, Jiajun Wu, Karen Liu
CoRL 2024 DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from Offline Datasets Xiaoyu Huang, Yufeng Chi, Ruofeng Wang, Zhongyu Li, Xue Bin Peng, Sophia Shao, Borivoje Nikolic, Koushil Sreenath
ECCV 2024 Generating Human Interaction Motions in Scenes with Text Control Hongwei Yi, Justus Thies, Michael J. Black, Xue Bin Peng, Davis Rempe
CVPRW 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
ICLR 2024 Trajeglish: Traffic Modeling as Next-Token Prediction Jonah Philion, Xue Bin Peng, Sanja Fidler
CoRL 2023 RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning Kevin Zakka, Philipp Wu, Laura Smith, Nimrod Gileadi, Taylor Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel
CVPR 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
NeurIPS 2023 Video Prediction Models as Rewards for Reinforcement Learning Alejandro Escontrela, Ademi Adeniji, Wilson Yan, Ajay N. Jain, Xue Bin Peng, Ken Goldberg, Youngwoon Lee, Danijar Hafner, Pieter Abbeel
CoRL 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
NeurIPS 2022 Unsupervised Reinforcement Learning with Contrastive Intrinsic Control Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel
NeurIPSW 2021 CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel
ICML 2021 Offline Meta-Reinforcement Learning with Advantage Weighting Eric Mitchell, Rafael Rafailov, Xue Bin Peng, Sergey Levine, Chelsea Finn
ICLR 2020 Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine, Yoshua Bengio
NeurIPS 2019 MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies Xue Bin Peng, Michael Chang, Grace Zhang, Pieter Abbeel, Sergey Levine
ICLR 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