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ORCIDTongzhou Mu
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2020 – today
- 2024
[c9]Tongzhou Mu, Minghua Liu, Hao Su:
DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks. ICLR 2024- [i14]Tongzhou Mu, Yijie Guo, Jie Xu, Ankit Goyal, Hao Su, Dieter Fox, Animesh Garg:
AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent. CoRR abs/2404.07428 (2024) - [i13]Tongzhou Mu, Minghua Liu, Hao Su:
DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks. CoRR abs/2404.16779 (2024) - [i12]Stone Tao, Fanbo Xiang, Arth Shukla, Yuzhe Qin, Xander Hinrichsen, Xiaodi Yuan, Chen Bao, Xinsong Lin, Yulin Liu, Tse-kai Chan, Yuan Gao, Xuanlin Li, Tongzhou Mu, Nan Xiao, Arnav Gurha, Zhiao Huang, Roberto Calandra, Rui Chen, Shan Luo, Hao Su:
ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI. CoRR abs/2410.00425 (2024) - 2023
- [j2]Xiaoshuai Zhang
, Rui Chen, Ang Li, Fanbo Xiang, Yuzhe Qin, Jiayuan Gu, Zhan Ling, Minghua Liu, Peiyu Zeng, Songfang Han, Zhiao Huang, Tongzhou Mu, Jing Xu, Hao Su:
Close the Optical Sensing Domain Gap by Physics-Grounded Active Stereo Sensor Simulation. IEEE Trans. Robotics 39(3): 2429-2447 (2023) - [c8]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:
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills. ICLR 2023 - [c7]Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang:
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline. ICML 2023: 12511-12526 - [c6]Stone Tao, Xiaochen Li, Tongzhou Mu, Zhiao Huang, Yuzhe Qin, Hao Su:
Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization. ICML 2023: 33850-33882 - [i11]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:
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills. CoRR abs/2302.04659 (2023) - [i10]Tongzhou Mu, Hao Su:
Boosting Reinforcement Learning and Planning with Demonstrations: A Survey. CoRR abs/2303.13489 (2023) - [i9]Zebang Shen, Hui Qian, Tongzhou Mu, Chao Zhang:
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization. CoRR abs/2304.11665 (2023) - [i8]Zhan Ling, Yunhao Fang, Xuanlin Li, Tongzhou Mu, Mingu Lee, Reza Pourreza, Roland Memisevic, Hao Su:
Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving. CoRR abs/2311.00694 (2023) - 2022
- [j1]Tongzhou Mu, Kaixiang Lin, Feiyang Niu, Govind Thattai:
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning. Trans. Mach. Learn. Res. 2022 (2022) - [i7]Tongzhou Mu, Kaixiang Lin, Feiyang Niu, Govind Thattai:
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning. CoRR abs/2201.08520 (2022) - [i6]Xiaoshuai Zhang, Rui Chen, Fanbo Xiang, Yuzhe Qin, Jiayuan Gu, Zhan Ling, Minghua Liu, Peiyu Zeng, Songfang Han, Zhiao Huang, Tongzhou Mu, Jing Xu, Hao Su:
Close the Visual Domain Gap by Physics-Grounded Active Stereovision Depth Sensor Simulation. CoRR abs/2201.11924 (2022) - [i5]Stone Tao, Xiaochen Li, Tongzhou Mu, Zhiao Huang, Yuzhe Qin, Hao Su:
Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization. CoRR abs/2210.07658 (2022) - [i4]Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang:
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline. CoRR abs/2212.05749 (2022) - 2021
- [c5]Tongzhou Mu, Zhan Ling, Fanbo Xiang, Derek Yang, Xuanlin Li, Stone Tao, Zhiao Huang, Zhiwei Jia, Hao Su:
ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations. NeurIPS Datasets and Benchmarks 2021 - [i3]Tongzhou Mu, Zhan Ling, Fanbo Xiang, Derek Yang, Xuanlin Li, Stone Tao, Zhiao Huang, Zhiwei Jia, Hao Su:
ManiSkill: Learning-from-Demonstrations Benchmark for Generalizable Manipulation Skills. CoRR abs/2107.14483 (2021) - 2020
- [c4]Fangchen Liu, Zhan Ling, Tongzhou Mu, Hao Su:
State Alignment-based Imitation Learning. ICLR 2020 - [c3]Tongzhou Mu, Jiayuan Gu, Zhiwei Jia, Hao Tang, Hao Su:
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals. NeurIPS 2020 - [i2]Tongzhou Mu, Jiayuan Gu, Zhiwei Jia, Hao Tang, Hao Su:
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals. CoRR abs/2011.00971 (2020)
2010 – 2019
- 2019
- [i1]Fangchen Liu, Zhan Ling, Tongzhou Mu, Hao Su:
State Alignment-based Imitation Learning. CoRR abs/1911.10947 (2019) - 2017
- [c2]Zebang Shen, Hui Qian, Tongzhou Mu, Chao Zhang:
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization. IJCAI 2017: 2715-2721 - 2016
- [c1]Zebang Shen, Hui Qian, Tengfei Zhou, Tongzhou Mu:
Adaptive Variance Reducing for Stochastic Gradient Descent. IJCAI 2016: 1990-1996
Coauthor Index
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