Xue Bin Peng - RankMe

108 papers A* 16A 6C 1Misc 3Journal 68Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Kimodo: Scaling Controllable Human Motion Generation. CoRR Davis Rempe, Mathis Petrovich, Ye Yuan, Haotian Zhang, Xue Bin Peng, Yifeng Jiang, Tingwu Wang, Umar Iqbal, David Minor, Michael de Ruyter, Jiefeng Li, Chen Tessler, Edy Lim, Eugene Jeong, Sam Wu, Ehsan Hassani, Michael Huang, Jin-Bey Yu, Chaeyeon Chung, Lina Song, Olivier Dionne, Jan Kautz, Simon Yuen, Sanja Fidler
2026	J	`jnl`	Robo-Saber: Generating and Simulating Virtual Reality Players. CoRR Nam Hee Kim, Jingjing May Liu, Jaakko Lehtinen, Perttu Hämäläinen, James F. O'Brien, Xue Bin Peng
2025	J	`jnl`	ADD: Physics-Based Motion Imitation with Adversarial Differential Discriminators. CoRR Ziyu Zhang, Sergey Bashkirov, Dun Yang, Michael Taylor, Xue Bin Peng
2025	A*	`conf`	CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control. ICLR Guy Tevet, Sigal Raab, Setareh Cohan, Daniele Reda, Zhengyi Luo, Xue Bin Peng, Amit Haim Bermano, Michiel van de Panne
2025	J	`jnl`	GMT: General Motion Tracking for Humanoid Whole-Body Control. CoRR Zixuan Chen, Mazeyu Ji, Xuxin Cheng, Xuanbin Peng, Xue Bin Peng, Xiaolong Wang
2025	A	`conf`	Generalizable Humanoid Manipulation with 3D Diffusion Policies. IROS Yanjie Ze, Zixuan Chen, Wenhao Wang, Tianyi Chen, Xialin He, Ying Yuan, Xue Bin Peng, Jiajun Wu
2025	J	`jnl`	HIL: Hybrid Imitation Learning of Diverse Parkour Skills from Videos. CoRR Jiashun Wang, Yifeng Jiang, Haotian Zhang, Chen Tessler, Davis Rempe, Jessica K. Hodgins, Xue Bin Peng
2025	J	`jnl`	Humanoid Locomotion and Manipulation: Current Progress and Challenges in Control, Planning, and Learning. CoRR Zhaoyuan Gu, Junheng Li, Wenlan Shen, Wenhao Yu, Zhaoming Xie, Stephen McCrory, Xianyi Cheng, Abdulaziz Shamsah, Robert J. Griffin, C. Karen Liu, Abderrahmane Kheddar, Xue Bin Peng, Yuke Zhu, Guanya Shi, Quan Nguyen, Gordon Cheng, Huijun Gao, Ye Zhao
2025	A*	`conf`	Language Guided Skill Discovery. ICLR Seungeun Rho, Laura Smith, Tianyu Li, Sergey Levine, Xue Bin Peng, Sehoon Ha
2025	J	`jnl`	LeVERB: Humanoid Whole-Body Control with Latent Vision-Language Instruction. CoRR Haoru Xue, Xiaoyu Huang, Dantong Niu, Qiayuan Liao, Thomas Kragerud, Jan Tommy Gravdahl, Xue Bin Peng, Guanya Shi, Trevor Darrell, Koushil Sreenath, S. Shankar Sastry
2025	A	`conf`	Learning Smooth Humanoid Locomotion through Lipschitz-Constrained Policies. IROS 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
2025	A*	`conf`	MaskedManipulator: Versatile Whole-Body Control for Loco-Manipulation. SIGGRAPH Asia Chen Tessler, Yifeng Jiang, Erwin Coumans, Zhengyi Luo, Xue Bin Peng, Gal Chechik
2025	J	`jnl`	MaskedManipulator: Versatile Whole-Body Control for Loco-Manipulation. CoRR Chen Tessler, Yifeng Jiang, Erwin Coumans, Zhengyi Luo, Gal Chechik, Xue Bin Peng
2025	J	`jnl`	MimicKit: A Reinforcement Learning Framework for Motion Imitation and Control. CoRR Xue Bin Peng
2025	J	`jnl`	Noise-Aware Generative Microscopic Traffic Simulation. CoRR Vindula Jayawardana, Catherine Tang, Junyi Ji, Jonah Philion, Xue Bin Peng, Cathy Wu
2025	—	`conf`	PARC: Physics-based Augmentation with Reinforcement Learning for Character Controllers. SIGGRAPH (Conference Paper Track) Michael Xu, Yi Shi, KangKang Yin, Xue Bin Peng
2025	J	`jnl`	PARC: Physics-based Augmentation with Reinforcement Learning for Character Controllers. CoRR Michael Xu, Yi Shi, KangKang Yin, Xue Bin Peng
2025	A*	`conf`	Physics-Based Motion Imitation with Adversarial Differential Discriminators. SIGGRAPH Asia Ziyu Zhang, Sergey Bashkirov, Dun Yang, Yi Shi, Michael Taylor, Xue Bin Peng
2025	J	`jnl`	Reinforcement learning for versatile, dynamic, and robust bipedal locomotion control. Int. J. Robotics Res. Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath
2025	—	`conf`	SHARE: Scene-Human Aligned Reconstruction. SIGGRAPH Asia Technical Communications Joshua Li, Brendan Chharawala, Chang Shu, Xue Bin Peng, Pengcheng Xi
2025	J	`jnl`	SHARE: Scene-Human Aligned Reconstruction. CoRR Joshua Li, Brendan Chharawala, Chang Shu, Xue Bin Peng, Pengcheng Xi
2025	J	`jnl`	SMP: Reusable Score-Matching Motion Priors for Physics-Based Character Control. CoRR Yuxuan Mu, Ziyu Zhang, Yi Shi, Minami Matsumoto, Kotaro Imamura, Guy Tevet, Chuan Guo, Michael Taylor, Chang Shu, Pengcheng Xi, Xue Bin Peng
2025	A*	`conf`	StableMotion: Training Motion Cleanup Models with Unpaired Corrupted Data. SIGGRAPH Asia Yuxuan Mu, Hung Yu Ling, Yi Shi, Ismael Baira Ojeda, Pengcheng Xi, Chang Shu, Fabio Zinno, Xue Bin Peng
2025	J	`jnl`	StableMotion: Training Motion Cleanup Models with Unpaired Corrupted Data. CoRR Yuxuan Mu, Hung Yu Ling, Yi Shi, Ismael Baira Ojeda, Pengcheng Xi, Chang Shu, Fabio Zinno, Xue Bin Peng
2025	J	`jnl`	TWIST: Teleoperated Whole-Body Imitation System. CoRR Yanjie Ze, Zixuan Chen, João Pedro Araújo, Zi-ang Cao, Xue Bin Peng, Jiajun Wu, C. Karen Liu
2024	J	`jnl`	CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control. CoRR Guy Tevet, Sigal Raab, Setareh Cohan, Daniele Reda, Zhengyi Luo, Xue Bin Peng, Amit H. Bermano, Michiel van de Panne
2024	Misc	`conf`	DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from Offline Datasets. CoRL Xiaoyu Huang, Yufeng Chi, Ruofeng Wang, Zhongyu Li, Xue Bin Peng, Yakun Sophia Shao, Borivoje Nikolic, Koushil Sreenath
2024	J	`jnl`	DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from Offline Datasets. CoRR Xiaoyu Huang, Yufeng Chi, Ruofeng Wang, Zhongyu Li, Xue Bin Peng, Yakun Sophia Shao, Borivoje Nikolic, Koushil Sreenath
2024	—	`conf`	Flexible Motion In-betweening with Diffusion Models. SIGGRAPH (Conference Paper Track) Setareh Cohan, Guy Tevet, Daniele Reda, Xue Bin Peng, Michiel van de Panne
2024	J	`jnl`	Flexible Motion In-betweening with Diffusion Models. CoRR Setareh Cohan, Guy Tevet, Daniele Reda, Xue Bin Peng, Michiel van de Panne
2024	J	`jnl`	Generalizable Humanoid Manipulation with Improved 3D Diffusion Policies. CoRR Yanjie Ze, Zixuan Chen, Wenhao Wang, Tianyi Chen, Xialin He, Ying Yuan, Xue Bin Peng, Jiajun Wu
2024	—	`conf`	Generating Human Interaction Motions in Scenes with Text Control. ECCV (4) Hongwei Yi, Justus Thies, Michael J. Black, Xue Bin Peng, Davis Rempe
2024	J	`jnl`	Generating Human Interaction Motions in Scenes with Text Control. CoRR Hongwei Yi, Justus Thies, Michael J. Black, Xue Bin Peng, Davis Rempe
2024	A	`conf`	HiLMa-Res: A General Hierarchical Framework via Residual RL for Combining Quadrupedal Locomotion and Manipulation. IROS Xiaoyu Huang, Qiayuan Liao, Yiming Ni, Zhongyu Li, Laura Smith, Sergey Levine, Xue Bin Peng, Koushil Sreenath
2024	J	`jnl`	HiLMa-Res: A General Hierarchical Framework via Residual RL for Combining Quadrupedal Locomotion and Manipulation. CoRR Xiaoyu Huang, Qiayuan Liao, Yiming Ni, Zhongyu Li, Laura Smith, Sergey Levine, Xue Bin Peng, Koushil Sreenath
2024	J	`jnl`	Interactive Character Control with Auto-Regressive Motion Diffusion Models. ACM Trans. Graph. Yi Shi, Jingbo Wang, Xuekun Jiang, Bingkun Lin, Bo Dai, Xue Bin Peng
2024	J	`jnl`	Language Guided Skill Discovery. CoRR Seungeun Rho, Laura Smith, Tianyu Li, Sergey Levine, Xue Bin Peng, Sehoon Ha
2024	J	`jnl`	Learning Smooth Humanoid Locomotion through Lipschitz-Constrained Policies. CoRR 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
2024	J	`jnl`	MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting. CoRR Chen Tessler, Yunrong Guo, Ofir Nabati, Gal Chechik, Xue Bin Peng
2024	J	`jnl`	MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting. ACM Trans. Graph. Chen Tessler, Yunrong Guo, Ofir Nabati, Gal Chechik, Xue Bin Peng
2024	—	`conf`	Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation. CVPR Workshops Mathis Petrovich, Or Litany, Umar Iqbal, Michael J. Black, Gül Varol, Xue Bin Peng, Davis Rempe
2024	J	`jnl`	Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation. CoRR Mathis Petrovich, Or Litany, Umar Iqbal, Michael J. Black, Gül Varol, Xue Bin Peng, Davis Rempe
2024	J	`jnl`	Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control. CoRR Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath
2024	—	`conf`	SuperPADL: Scaling Language-Directed Physics-Based Control with Progressive Supervised Distillation. SIGGRAPH (Conference Paper Track) Jordan Juravsky, Yunrong Guo, Sanja Fidler, Xue Bin Peng
2024	J	`jnl`	SuperPADL: Scaling Language-Directed Physics-Based Control with Progressive Supervised Distillation. CoRR Jordan Juravsky, Yunrong Guo, Sanja Fidler, Xue Bin Peng
2024	A*	`conf`	Trajeglish: Traffic Modeling as Next-Token Prediction. ICLR Jonah Philion, Xue Bin Peng, Sanja Fidler
2023	—	`conf`	CALM: Conditional Adversarial Latent Models for Directable Virtual Characters. SIGGRAPH (Conference Paper Track) Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng
2023	J	`jnl`	CALM: Conditional Adversarial Latent Models for Directable Virtual Characters. CoRR Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng
2023	A	`conf`	Creating a Dynamic Quadrupedal Robotic Goalkeeper with Reinforcement Learning. IROS Xiaoyu Huang, Zhongyu Li, Yanzhen Xiang, Yiming Ni, Yufeng Chi, Yunhao Li, Lizhi Yang, Xue Bin Peng, Koushil Sreenath
2023	J	`jnl`	Learning Physically Simulated Tennis Skills from Broadcast Videos. ACM Trans. Graph. Haotian Zhang, Ye Yuan, Viktor Makoviychuk, Yunrong Guo, Sanja Fidler, Xue Bin Peng, Kayvon Fatahalian
2023	—	`conf`	Learning and Adapting Agile Locomotion Skills by Transferring Experience. Robotics: Science and Systems Laura Smith, J. Chase Kew, Tianyu Li, Linda Luu, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine
2023	J	`jnl`	Learning and Adapting Agile Locomotion Skills by Transferring Experience. CoRR Laura Smith, J. Chase Kew, Tianyu Li, Linda Luu, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine
2023	J	`jnl`	PADL: Language-Directed Physics-Based Character Control. CoRR Jordan Juravsky, Yunrong Guo, Sanja Fidler, Xue Bin Peng
2023	J	`jnl`	RoboPianist: A Benchmark for High-Dimensional Robot Control. CoRR Kevin Zakka, Laura Smith, Nimrod Gileadi, Taylor A. Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel
2023	Misc	`conf`	RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning. CoRL Kevin Zakka, Philipp Wu, Laura Smith, Nimrod Gileadi, Taylor Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel
2023	J	`jnl`	Robust and Versatile Bipedal Jumping Control through Multi-Task Reinforcement Learning. CoRR Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath
2023	—	`conf`	Robust and Versatile Bipedal Jumping Control through Reinforcement Learning. Robotics: Science and Systems Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath
2023	—	`conf`	Synthesizing Physical Character-Scene Interactions. SIGGRAPH (Conference Paper Track) Mohamed Hassan, Yunrong Guo, Tingwu Wang, Michael J. Black, Sanja Fidler, Xue Bin Peng
2023	J	`jnl`	Synthesizing Physical Character-Scene Interactions. CoRR Mohamed Hassan, Yunrong Guo, Tingwu Wang, Michael J. Black, Sanja Fidler, Xue Bin Peng
2023	A*	`conf`	Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion. CVPR Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany
2023	J	`jnl`	Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion. CoRR Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany
2023	J	`jnl`	Trajeglish: Learning the Language of Driving Scenarios. CoRR Jonah Philion, Xue Bin Peng, Sanja Fidler
2023	A*	`conf`	Video Prediction Models as Rewards for Reinforcement Learning. NeurIPS Alejandro Escontrela, Ademi Adeniji, Wilson Yan, Ajay Jain, Xue Bin Peng, Ken Goldberg, Youngwoon Lee, Danijar Hafner, Pieter Abbeel
2023	J	`jnl`	Video Prediction Models as Rewards for Reinforcement Learning. CoRR Alejandro Escontrela, Ademi Adeniji, Wilson Yan, Ajay Jain, Xue Bin Peng, Ken Goldberg, Youngwoon Lee, Danijar Hafner, Pieter Abbeel
2022	J	`jnl`	ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters. CoRR Xue Bin Peng, Yunrong Guo, Lina Halper, Sergey Levine, Sanja Fidler
2022	J	`jnl`	ASE: large-scale reusable adversarial skill embeddings for physically simulated characters. ACM Trans. Graph. Xue Bin Peng, Yunrong Guo, Lina Halper, Sergey Levine, Sanja Fidler
2022	A	`conf`	Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions. IROS Alejandro Escontrela, Xue Bin Peng, Wenhao Yu, Tingnan Zhang, Atil Iscen, Ken Goldberg, Pieter Abbeel
2022	J	`jnl`	Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions. CoRR Alejandro Escontrela, Xue Bin Peng, Wenhao Yu, Tingnan Zhang, Atil Iscen, Ken Goldberg, Pieter Abbeel
2022	J	`jnl`	CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery. CoRR Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel
2022	J	`jnl`	Creating a Dynamic Quadrupedal Robotic Goalkeeper with Reinforcement Learning. CoRR Xiaoyu Huang, Zhongyu Li, Yanzhen Xiang, Yiming Ni, Yufeng Chi, Yunhao Li, Lizhi Yang, Xue Bin Peng, Koushil Sreenath
2022	Misc	`conf`	GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots. CoRL Gilbert Feng, Hongbo Zhang, Zhongyu Li, Xue Bin Peng, Bhuvan Basireddy, Linzhu Yue, Zhitao Song, Lizhi Yang, Yunhui Liu, Koushil Sreenath, Sergey Levine
2022	J	`jnl`	GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots. CoRR Gilbert Feng, Hongbo Zhang, Zhongyu Li, Xue Bin Peng, Bhuvan Basireddy, Linzhu Yue, Zhitao Song, Lizhi Yang, Yunhui Liu, Koushil Sreenath, Sergey Levine
2022	A	`conf`	Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot. IROS Yandong Ji, Zhongyu Li, Yinan Sun, Xue Bin Peng, Sergey Levine, Glen Berseth, Koushil Sreenath
2022	J	`jnl`	Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot. CoRR Yandong Ji, Zhongyu Li, Yinan Sun, Xue Bin Peng, Sergey Levine, Glen Berseth, Koushil Sreenath
2022	A*	`conf`	Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World. ICRA Laura Smith, J. Chase Kew, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine
2022	A*	`conf`	PADL: Language-Directed Physics-Based Character Control. SIGGRAPH Asia Jordan Juravsky, Yunrong Guo, Sanja Fidler, Xue Bin Peng
2022	A*	`conf`	Unsupervised Reinforcement Learning with Contrastive Intrinsic Control. NeurIPS Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel
2021	J	`jnl`	AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control. CoRR Xue Bin Peng, Ze Ma, Pieter Abbeel, Sergey Levine, Angjoo Kanazawa
2021	J	`jnl`	AMP: adversarial motion priors for stylized physics-based character control. ACM Trans. Graph. Xue Bin Peng, Ze Ma, Pieter Abbeel, Sergey Levine, Angjoo Kanazawa
2021	—	`—`	Acquiring Motor Skills Through Motion Imitation and Reinforcement Learning Xue Bin Peng
2021	J	`jnl`	Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World. CoRR Laura Smith, J. Chase Kew, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine
2021	A*	`conf`	Offline Meta-Reinforcement Learning with Advantage Weighting. ICML Eric Mitchell, Rafael Rafailov, Xue Bin Peng, Sergey Levine, Chelsea Finn
2021	A*	`conf`	Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots. ICRA Zhongyu Li, Xuxin Cheng, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath
2021	J	`jnl`	Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots. CoRR Zhongyu Li, Xuxin Cheng, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath
2020	—	`conf`	Learning Agile Robotic Locomotion Skills by Imitating Animals. Robotics: Science and Systems Xue Bin Peng, Erwin Coumans, Tingnan Zhang, Tsang-Wei Edward Lee, Jie Tan, Sergey Levine
2020	J	`jnl`	Learning Agile Robotic Locomotion Skills by Imitating Animals. CoRR Xue Bin Peng, Erwin Coumans, Tingnan Zhang, Tsang-Wei Edward Lee, Jie Tan, Sergey Levine
2020	J	`jnl`	Offline Meta-Reinforcement Learning with Advantage Weighting. CoRR Eric Mitchell, Rafael Rafailov, Xue Bin Peng, Sergey Levine, Chelsea Finn
2020	A*	`conf`	Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives. ICLR Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine, Yoshua Bengio
2019	J	`jnl`	Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning. CoRR Xue Bin Peng, Aviral Kumar, Grace Zhang, Sergey Levine
2019	A*	`conf`	MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies. NeurIPS Xue Bin Peng, Michael Chang, Grace Zhang, Pieter Abbeel, Sergey Levine
2019	J	`jnl`	MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies. CoRR Xue Bin Peng, Michael Chang, Grace Zhang, Pieter Abbeel, Sergey Levine
2019	C	`conf`	On Learning Symmetric Locomotion. MIG Farzad Abdolhosseini, Hung Yu Ling, Zhaoming Xie, Xue Bin Peng, Michiel van de Panne
2019	J	`jnl`	Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives. CoRR Anirudh Goyal, Shagun Sodhani, Jonathan Binas, Xue Bin Peng, Sergey Levine, Yoshua Bengio
2019	J	`jnl`	Reward-Conditioned Policies. CoRR Aviral Kumar, Xue Bin Peng, Sergey Levine
2019	—	`conf`	Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow. ICLR (Poster) Xue Bin Peng, Angjoo Kanazawa, Sam Toyer, Pieter Abbeel, Sergey Levine
2018	J	`jnl`	DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills. CoRR Xue Bin Peng, Pieter Abbeel, Sergey Levine, Michiel van de Panne
2018	J	`jnl`	DeepMimic: example-guided deep reinforcement learning of physics-based character skills. ACM Trans. Graph. Xue Bin Peng, Pieter Abbeel, Sergey Levine, Michiel van de Panne
2018	J	`jnl`	SFV: Reinforcement Learning of Physical Skills from Videos. CoRR Xue Bin Peng, Angjoo Kanazawa, Jitendra Malik, Pieter Abbeel, Sergey Levine
2018	J	`jnl`	SFV: reinforcement learning of physical skills from videos. ACM Trans. Graph. Xue Bin Peng, Angjoo Kanazawa, Jitendra Malik, Pieter Abbeel, Sergey Levine
2018	A*	`conf`	Sim-to-Real Transfer of Robotic Control with Dynamics Randomization. ICRA Xue Bin Peng, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel
2018	J	`jnl`	Terrain RL Simulator. CoRR Glen Berseth, Xue Bin Peng, Michiel van de Panne
2018	J	`jnl`	Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow. CoRR Xue Bin Peng, Angjoo Kanazawa, Sam Toyer, Pieter Abbeel, Sergey Levine
2017	J	`jnl`	DeepLoco: dynamic locomotion skills using hierarchical deep reinforcement learning. ACM Trans. Graph. Xue Bin Peng, Glen Berseth, KangKang Yin, Michiel van de Panne
2017	—	`conf`	Learning locomotion skills using DeepRL: does the choice of action space matter? Symposium on Computer Animation Xue Bin Peng, Michiel van de Panne
2017	J	`jnl`	Sim-to-Real Transfer of Robotic Control with Dynamics Randomization. CoRR Xue Bin Peng, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel
2016	J	`jnl`	Learning Locomotion Skills Using DeepRL: Does the Choice of Action Space Matter? CoRR Xue Bin Peng, Michiel van de Panne
2016	J	`jnl`	Terrain-adaptive locomotion skills using deep reinforcement learning. ACM Trans. Graph. Xue Bin Peng, Glen Berseth, Michiel van de Panne
2015	J	`jnl`	Dynamic terrain traversal skills using reinforcement learning. ACM Trans. Graph. Xue Bin Peng, Glen Berseth, Michiel van de Panne