Tongzhou Mu 木同舟

Tongzhou Mu 

Ph.D. student,
Department of Computer Science and Engineering,
University of California San Diego
Email: t3mu [@] eng [DOT] ucsd [DOT] edu
Google Scholar / DBLP


I am looking for a research internship in summer 2022. Please feel free to contact me!

About me

I am a Ph.D. student in the Department of Computer Science and Engineering at the University of California San Diego, and I am fortunate to be advised by Prof. Hao Su. My research interests are broadly in reinforcement learning, concept discovery, and robotics.

Prior to starting as a Ph.D. student, I received my B.Eng. and M.Sc. degrees in computer science from Zhejiang University, and UC San Diego in 2017 and 2019, respectively. I have also spent time at Microsoft Research Asia, Intel AI, Wormpex AI , and Amazon Alexa AI.

Research interests

My research interests include

  • Reinforcement Learning

    • Object-centric RL

    • Model-based RL

    • Curriculum in RL

  • Concept Discovery

    • Emergent Concepts in Task Completion

    • Reasoning over Concepts

  • Robotics

    • Planning and Control for Manipulation

Publications

ManiSkill 

ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations
Tongzhou Mu* , Zhan Ling*, Fanbo Xiang*, Derek Yang*, Xuanlin Li*, Stone Tao, Zhiao Huang, Zhiwei Jia, Hao Su
Conference on Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track 2021
[Video] [Slides] [Code] [Baselines] [Challenge Website]

policy_refactorization 

Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals
Tongzhou Mu* , Jiayuan Gu*, Zhiwei Jia, Hao Tang, Hao Su
Conference on Neural Information Processing Systems (NeurIPS) 2020
[Project Page] [Poster] [Slides] [Code]

sail 

State Alignment-based Imitation Learning
Fangchen Liu, Zhan Ling, Tongzhou Mu, Hao Su
International Conference on Learning Representations (ICLR) 2020

value_transfer 

Transfer Value or Policy? A Value-centric Framework Towards Transferrable Continuous Reinforcement Learning
Xingchao Liu*, Tongzhou Mu* , Hao Su
Deep Reinforcement Learning Workshop at NeurIPS 2018

doubly_sgd 

Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization
Zebang Shen, Hui Qian, Tongzhou Mu, and Chao Zhang
International Joint Conference on Artificial Intelligence (IJCAI) 2017

adaptive_vr 

Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization
Zebang Shen, Hui Qian, Tongzhou Mu, and Chao Zhang
International Joint Conference on Artificial Intelligence (IJCAI) 2017

Awards