Mu, Tongzhou

18 publications

ICLRW 2025 ManiSkill3: GPU Parallelized Robot Simulation and Rendering for Generalizable Embodied AI 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, Viswesh N, Yong Woo Choi, Yen-Ru Chen, Zhiao Huang, Roberto Calandra, Rui Chen, Shan Luo, Hao Su

ICML 2025 Multi-Stage Manipulation with Demonstration-Augmented Reward, Policy, and World Model Learning Adrià López Escoriza, Nicklas Hansen, Stone Tao, Tongzhou Mu, Hao Su

ICLR 2025 Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model Xiu Yuan, Tongzhou Mu, Stone Tao, Yunhao Fang, Mengke Zhang, Hao Su

TMLR 2025 Responsive Noise-Relaying Diffusion Policy: Responsive and Efficient Visuomotor Control Zhuoqun Chen, Xiu Yuan, Tongzhou Mu, Hao Su

CoRL 2025 Towards Embodiment Scaling Laws in Robot Locomotion Bo Ai, Liu Dai, Nico Bohlinger, Dichen Li, Tongzhou Mu, Zhanxin Wu, K. Fay, Henrik I Christensen, Jan Peters, Hao Su

AAAI 2025 When 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

ICLRW 2024 AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent Tongzhou Mu, Yijie Guo, Jie Xu, Ankit Goyal, Hao Su, Dieter Fox, Animesh Garg

ICLR 2024 DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks Tongzhou Mu, Minghua Liu, Hao Su

ICML 2023 Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization Stone Tao, Xiaochen Li, Tongzhou Mu, Zhiao Huang, Yuzhe Qin, Hao Su

ICLR 2023 ManiSkill2: 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

ICML 2023 On 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

NeurIPSW 2022 Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization Stone Tao, Xiaochen Li, Tongzhou Mu, Zhiao Huang, Yuzhe Qin, Hao Su

TMLR 2022 Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning Tongzhou Mu, Kaixiang Lin, Feiyang Niu, Govind Thattai

ICLRW 2022 Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning Tongzhou Mu, Kaixiang Lin, Feiyang Niu, Govind Thattai

NeurIPS 2020 Refactoring Policy for Compositional Generalizability Using Self-Supervised Object Proposals Tongzhou Mu, Jiayuan Gu, Zhiwei Jia, Hao Tang, Hao Su

ICLR 2020 State Alignment-Based Imitation Learning Fangchen Liu, Zhan Ling, Tongzhou Mu, Hao Su

IJCAI 2017 Accelerated Doubly Stochastic Gradient Algorithm for Large-Scale Empirical Risk Minimization Zebang Shen, Hui Qian, Tongzhou Mu, Chao Zhang

IJCAI 2016 Adaptive Variance Reducing for Stochastic Gradient Descent Zebang Shen, Hui Qian, Tengfei Zhou, Tongzhou Mu