Xue Bin Peng
Also known as Jason Peng
Xue Bin Peng is a computer scientist whose research uses reinforcement learning and motion imitation to develop motor skills for simulated characters and robots. He earned computer science degrees at UBC, coauthored DeepLoco and DeepMimic, and coauthored a system that teaches legged robots to learn agile motion from animal examples. His 2021 UC Berkeley dissertation on motion imitation and reinforcement learning won the SIGGRAPH Outstanding Doctoral Dissertation Award in 2022. In 2025, he coauthored TWIST for humanoid teleoperation; in March 2026, he coauthored Kimodo for controllable human motion generation. As of October 2026, he is an assistant professor and Canada CIFAR AI Chair at Simon Fraser University and a research scientist at NVIDIA; he plans to move to UBC in 2027.
- Now at
- Simon Fraser University and NVIDIA
- Works
- 43
- Citations
- 4,293
- h-index
- 24
- Badges
Publication numbers from OpenAlex, as of 22 October 2026.
Timeline
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2015–2017
Computer science at UBC
He earns a BSc in computer science at UBC in 2015 and an MSc in computer science there in 2017.
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2017
DeepLoco and an SCA award
In 2017, he coauthors DeepLoco, a hierarchical deep reinforcement learning framework that trains a simulated biped to follow trails, dribble a soccer ball and navigate around obstacles. In August 2017, he and Michiel van de Panne win the SCA Best Student Paper Award for Learning Locomotion Skills Using DeepRL: Does the Choice of Action Space Matter?
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2018
DeepMimic character control
In 2018, he coauthors DeepMimic, which uses reinforcement learning to train simulated characters to imitate motion clips and perform locomotion, acrobatics and martial arts.
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2020
Animal imitation for robots
In 2020, he coauthors an imitation-learning system that trains legged robots to learn agile locomotion from real animal motions. The paper appears among the RSS Foundation’s 2020 Outstanding Paper nominees.
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2021
A Berkeley PhD
He completes a PhD in computer science at UC Berkeley in 2021 with a dissertation titled Acquiring Motor Skills Through Motion Imitation and Reinforcement Learning, advised by Pieter Abbeel and Sergey Levine.
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2022
A SIGGRAPH dissertation award
In 2022, he receives the SIGGRAPH Outstanding Doctoral Dissertation Award for his work on character animation with deep reinforcement learning.
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2025–March 2026
TWIST and Kimodo
In 2025, he coauthors TWIST, which teleoperates humanoid robots through whole-body motion imitation with a controller that combines reinforcement learning and behavior cloning. In March 2026, he coauthors Kimodo, a project on scaling controllable human motion generation.
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As of October 2026
Research at SFU and NVIDIA
As of October 2026, he is an assistant professor and Canada CIFAR AI Chair in Simon Fraser University’s School of Computing Science, and a research scientist at NVIDIA. His work combines deep reinforcement learning, motion imitation and physics-based simulation to develop motor skills for simulated characters and real-world robots. He plans to move to the University of British Columbia in 2027.
Career
- Since 2022Simon Fraser UniversityAssistant professor and Canada CIFAR AI Chair
- Since 2022NVIDIAResearch scientist
Education
- 2021University of California, BerkeleyPhD in computer science
- 2017University of British ColumbiaMSc in computer science
- 2015University of British ColumbiaBSc in computer science
Sources and credits
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- Jason Peng - School of Computing Science - Simon Fraser University
- DeepLoco: Dynamic Locomotion Skills Using Hierarchical Deep Reinforcement Learning
- The Imager Laboratory for Graphics, Visualization, and HCT
- DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills
- Learning Agile Robotic Locomotion Skills by Imitating Animals · Robotics: Science and Systems
- Outstanding Paper Award - RSS Foundation
- Ph.D. Dissertations | EECS at UC Berkeley
- Xue Bin (Jason) Peng | DAIR @ NVIDIA Research
- TWIST: Teleoperated Whole-Body Imitation System
- Kimodo: Scaling Controllable Human Motion Generation | DAIR @ NVIDIA Research
- Xue Bin (Jason) Peng




