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Tongzhou Mu

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

10

Venues

4

Active years

2016–2025

Best venue rank

A*

Where they publish

Papers

10 indexed papers, newest first.

YearVenueTitleAuthors
2025AAAIWhen Should We Prefer State-to-Visual DAgger over Visual Reinforcement Learning?Tongzhou Mu, Zhaoyang Li, Stanislaw Wiktor Strzelecki, Xiu Yuan, Yunchao Yao, Litian Liang, Hao Su
2025ICLRPolicy Decorator: Model-Agnostic Online Refinement for Large Policy Model.Xiu Yuan, Tongzhou Mu, Stone Tao, Yunhao Fang, Mengke Zhang, Hao Su
2025ICMLMulti-Stage Manipulation with Demonstration-Augmented Reward, Policy, and World Model Learning.Adri Lpez Escoriza, Nicklas Hansen, Stone Tao, Tongzhou Mu, Hao Su
2024ICLRDrS: Learning Reusable Dense Rewards for Multi-Stage Tasks.Tongzhou Mu, Minghua Liu, Hao Su
2023ICLRManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills.Jiayuan Gu, Fanbo Xiang, Xuanlin Li, Zhan Ling, Xiqiang Liu, Tongzhou Mu, Yihe Tang, Stone Tao, Xinyue Wei, Yunchao Yao, Xiaodi Yuan, Pengwei Xie, Zhiao Huang, Rui Chen, Hao Su
2023ICMLOn Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline.Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang
2023ICMLAbstract-to-Executable Trajectory Translation for One-Shot Task Generalization.Stone Tao, Xiaochen Li, Tongzhou Mu, Zhiao Huang, Yuzhe Qin, Hao Su
2020ICLRState Alignment-based Imitation Learning.Fangchen Liu, Zhan Ling, Tongzhou Mu, Hao Su
2017IJCAIAccelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization.Zebang Shen, Hui Qian, Tongzhou Mu, Chao Zhang
2016IJCAIAdaptive Variance Reducing for Stochastic Gradient Descent.Zebang Shen, Hui Qian, Tengfei Zhou, Tongzhou Mu