Tian Gao

I am a fourth-year undergraduate student in Yao Class (founded by Andrew Yao), Institute for Interdisciplinary Information Sciences, Tsinghua University. I am honored to receive Yao Award (Gold Medal), the highest honor of our department.

I am broadly interested in machine learning and robotics. My research goal is to develop efficient learning methods to build autonomous robots with robust and generalizable behaviors that help humans do a wide range of real-world tasks.

Email / CV / Github

Research

I am developing decision making methods for (1) enabling embodied agents to learn with minimal human supervision and limited prior domain knowledge and (2) improving the robustness and the sample efficiency of policy learning.

Learning and Retrieval from Prior Data for Skill-based Imitation Learning
Soroush Nasiriany, Tian Gao, Ajay Mandlekar, Yuke Zhu
CoRL, 2022
project page / arXiv

A skill-based imitation learning framework for tackling long-horizon robot manipulation tasks data-efficiently and robustly.

Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning
Yunfei Li*, Tian Gao*, Jiaqi Yang, Huazhe Xu, Yi Wu
ICML, 2022
project page / arXiv / video

A phasic self-imitative reduction (PAIR) framework for tackling sparse-reward goal-conditioned RL problems effectively.

Website template from Jon Barron,