I am a Senior Staff Research Scientist and Tech Lead Manager in the robotics team of Google DeepMind. My research focuses on applying foundation models and deep reinforcement learning methods to robots, with interests spanning locomotion, navigation, manipulation, simulation, and sim-to-real transfer.

Jie Tan. Google DeepMind. Verified email at google.com - Homepage. Artificial General Intelligence Robotics Foundation Model Computer Graphics Vision. ... J Ibarz, J Tan, C Finn, M Kalakrishnan, P Pastor, S Levine. The International Journal of …

Learning agile locomotion via adversarial training, Yujin Tang, Jie Tan and Tatsuya Harada, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

My research focused on developing computational tools to understand, simulate and control human and animal motions in a complex environment. I developed fast and stable computer programs to simulate complex dynamic systems, such as …

Apr 27, 2018 · View a PDF of the paper titled Sim-to-Real: Learning Agile Locomotion For Quadruped Robots, by Jie Tan and 7 other authors

We develop a system for learning legged locomotion policies with deep RL in the real world with minimal human effort, using a multi-task learning procedure and a safety-constrained RL framework. [Paper Video] Learning Agile Locomotion via Adversarial Training. Yujin Tang, Jie Tan, Tatsuya Harada.

电子邮件: [email protected] 部门/实验室: 中国科学院自动化研究所工业视觉智能装备技术工程实验室 通讯地址: 北京市海淀区中关村东路95号

ORCID record for Jie Tan. ORCID provides an identifier for individuals to use with their name as they engage in research, scholarship, and innovation activities.

Tang Jie. WeBank Chair Professor, Tsinghua University. Verified email at tsinghua.edu.cn - Homepage. Artificial Intelligence Social Networks Data Mining Machine Learning Knowledge Graph. Articles Cited by Public access Co-authors. Title. Sort. ...