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 …

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, …

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

2018年4月27日 · Designing agile locomotion for quadruped robots often requires extensive expertise and tedious manual tuning. In this paper, we present a system to automate this …

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 …

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 …

Jie Tan received the Ph.D. degree in computer science from the Georgia Institute of Technology, Atlanta, GA, USA, in 2015. He is currently a Staff Research Scientist with Google Research. …

Proceedings of the 33rd ACM International Conference on Information and …

Jie Tan. Unsupervised situational assessment for power grid voltage stability monitoring based on Siameseautoencoder and k-Means clustering. International Conference on Artificial …