Yuandong Tian

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.

Yuandong's Publications

May 06, 2020

RESEARCH

CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication

In this work, we propose a goal-driven collaborative task that combines language, perception, and action. Specifically, we develop a Collaborative image-Drawing game between two agents, called CoDraw. Our game is grounded in a virtual world…

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

The AlphaGo, AlphaGo Zero, and AlphaZero series of algorithms are remarkable demonstrations of deep reinforcement learning’s capabilities, achieving superhuman performance in the complex game of Go with progressively increasing autonomy.…

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

Model-based reinforcement learning (RL) is considered to be a promising approach to reduce the sample complexity that hinders model-free RL. However, the theoretical understanding of such methods has been rather limited. This paper introduces a…

Yuping Luo, Huazhe Xu, Yuanzhi Li, Yuandong Tian, Trevor Darrell, Tengyu Ma,

May 06, 2019