Tongzhou Mu - RankMe

36 papers A* 11Journal 23Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Multi-Stage Manipulation with Demonstration-Augmented Reward, Policy, and World Model Learning. ICML Adrià López Escoriza, Nicklas Hansen, Stone Tao, Tongzhou Mu, Hao Su
2025	J	`jnl`	Multi-Stage Manipulation with Demonstration-Augmented Reward, Policy, and World Model Learning. CoRR Adrià López Escoriza, Nicklas Hansen, Stone Tao, Tongzhou Mu, Hao Su
2025	A*	`conf`	Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model. ICLR Xiu Yuan, Tongzhou Mu, Stone Tao, Yunhao Fang, Mengke Zhang, Hao Su
2025	J	`jnl`	Responsive Noise-Relaying Diffusion Policy: Responsive and Efficient Visuomotor Control. CoRR Zhuoqun Chen, Xiu Yuan, Tongzhou Mu, Hao Su
2025	J	`jnl`	Responsive Noise-Relaying Diffusion Policy: Responsive and Efficient Visuomotor Control. Trans. Mach. Learn. Res. Zhuoqun Chen, Xiu Yuan, Tongzhou Mu, Hao Su
2025	J	`jnl`	Scaling Cross-Embodiment World Models for Dexterous Manipulation. CoRR Zihao He, Bo Ai, Tongzhou Mu, Yulin Liu, Weikang Wan, Jiawei Fu, Yilun Du, Henrik I. Christensen, Hao Su
2025	J	`jnl`	Towards Embodiment Scaling Laws in Robot Locomotion. CoRR Bo Ai, Liu Dai, Nico Bohlinger, Dichen Li, Tongzhou Mu, Zhanxin Wu, K. Fay, Henrik I. Christensen, Jan Peters, Hao Su
2025	A*	`conf`	When Should We Prefer State-to-Visual DAgger over Visual Reinforcement Learning? AAAI Tongzhou Mu, Zhaoyang Li, Stanislaw Wiktor Strzelecki, Xiu Yuan, Yunchao Yao, Litian Liang, Hao Su
2024	J	`jnl`	AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent. CoRR Tongzhou Mu, Yijie Guo, Jie Xu, Ankit Goyal, Hao Su, Dieter Fox, Animesh Garg
2024	A*	`conf`	DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks. ICLR Tongzhou Mu, Minghua Liu, Hao Su
2024	J	`jnl`	DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks. CoRR Tongzhou Mu, Minghua Liu, Hao Su
2024	J	`jnl`	ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI. CoRR 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
2024	—	`—`	Modeling the Physical World for Data-Centric Robotics Tongzhou Mu
2024	J	`jnl`	Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model. CoRR Xiu Yuan, Tongzhou Mu, Stone Tao, Yunhao Fang, Mengke Zhang, Hao Su
2024	J	`jnl`	When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? CoRR Tongzhou Mu, Zhaoyang Li, Stanislaw Wiktor Strzelecki, Xiu Yuan, Yunchao Yao, Litian Liang, Hao Su
2023	A*	`conf`	Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization. ICML Stone Tao, Xiaochen Li, Tongzhou Mu, Zhiao Huang, Yuzhe Qin, Hao Su
2023	J	`jnl`	Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization. CoRR Zebang Shen, Hui Qian, Tongzhou Mu, Chao Zhang
2023	J	`jnl`	Boosting Reinforcement Learning and Planning with Demonstrations: A Survey. CoRR Tongzhou Mu, Hao Su
2023	J	`jnl`	Close the Optical Sensing Domain Gap by Physics-Grounded Active Stereo Sensor Simulation. IEEE Trans. Robotics 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
2023	A*	`conf`	ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills. ICLR 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
2023	J	`jnl`	ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills. CoRR 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
2023	A*	`conf`	On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline. ICML Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang
2023	J	`jnl`	Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving. CoRR Zhan Ling, Yunhao Fang, Xuanlin Li, Tongzhou Mu, Mingu Lee, Reza Pourreza, Roland Memisevic, Hao Su
2022	J	`jnl`	Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization. CoRR Stone Tao, Xiaochen Li, Tongzhou Mu, Zhiao Huang, Yuzhe Qin, Hao Su
2022	J	`jnl`	Close the Visual Domain Gap by Physics-Grounded Active Stereovision Depth Sensor Simulation. CoRR 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
2022	J	`jnl`	Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning. CoRR Tongzhou Mu, Kaixiang Lin, Feiyang Niu, Govind Thattai
2022	J	`jnl`	Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning. Trans. Mach. Learn. Res. Tongzhou Mu, Kaixiang Lin, Feiyang Niu, Govind Thattai
2022	J	`jnl`	On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline. CoRR Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang
2021	—	`conf`	ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations. NeurIPS Datasets and Benchmarks Tongzhou Mu, Zhan Ling, Fanbo Xiang, Derek Yang, Xuanlin Li, Stone Tao, Zhiao Huang, Zhiwei Jia, Hao Su
2021	J	`jnl`	ManiSkill: Learning-from-Demonstrations Benchmark for Generalizable Manipulation Skills. CoRR Tongzhou Mu, Zhan Ling, Fanbo Xiang, Derek Yang, Xuanlin Li, Stone Tao, Zhiao Huang, Zhiwei Jia, Hao Su
2020	A*	`conf`	Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals. NeurIPS Tongzhou Mu, Jiayuan Gu, Zhiwei Jia, Hao Tang, Hao Su
2020	J	`jnl`	Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals. CoRR Tongzhou Mu, Jiayuan Gu, Zhiwei Jia, Hao Tang, Hao Su
2020	A*	`conf`	State Alignment-based Imitation Learning. ICLR Fangchen Liu, Zhan Ling, Tongzhou Mu, Hao Su
2019	J	`jnl`	State Alignment-based Imitation Learning. CoRR Fangchen Liu, Zhan Ling, Tongzhou Mu, Hao Su
2017	A*	`conf`	Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization. IJCAI Zebang Shen, Hui Qian, Tongzhou Mu, Chao Zhang
2016	A*	`conf`	Adaptive Variance Reducing for Stochastic Gradient Descent. IJCAI Zebang Shen, Hui Qian, Tengfei Zhou, Tongzhou Mu