Yuandong Tian
Menlo Park, United States
Yuandong is a Research Scientist working on deep reinforcement learning and its applications on games, and theoretical analysis of deep models. He is the Lead Scientist and Engineer for ELF OpenGo and DarkForest Go project. Prior to that, he was a researcher and engineer on the Google Self-driving Car team. Yann received a Ph.D. in Robotics Institute, Carnegie Mellon University, and a Bachelor's and Master's degree of Computer Science in Shanghai Jiao Tong University. He is the recipient of ICCV 2013 Marr Prize Honorable Mentions.
Research Areas
Yuandong's Work
Yuandong's Publications
May 06, 2020
Research
CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication
Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen, Marcus Rohrbach, Byoung-Tak Zhang, Yuandong Tian, Dhruv Batra, Devi Parikh,
May 06, 2020
June 11, 2019
Research
ML Applications
ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero
Yuandong Tian, Jerry Ma, Qucheng Gong, Shubho Sengupta, Zhuoyuan Chen, James Pinkerton, Larry Zitnick,
June 11, 2019
May 06, 2019
Research
ML Applications
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
Yuping Luo, Huazhe Xu, Yuanzhi Li, Yuandong Tian, Trevor Darrell, Tengyu Ma,
May 06, 2019
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