| State alignment-based imitation learning F Liu, Z Ling, T Mu, H Su International Conference on Learning Representations (ICLR) 2019, 2019 | 93 | 2019 |
| ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations T Mu, Z Ling, F Xiang, D Yang, X Li, S Tao, Z Huang, Z Jia, H Su Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks …, 2021 | 90 | 2021 |
| ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills J Gu, F Xiang, X Li, Z Ling, X Liu, T Mu, Y Tang, S Tao, X Wei, Y Yao, ... International Conference on Learning Representations (ICLR) 2023, 2023 | 64* | 2023 |
| On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline N Hansen*, Z Yuan*, Y Ze*, T Mu*, A Rajeswaran, H Su, H Xu, X Wang International Conference on Machine Learning (ICML) 2023, 2022 | 38* | 2022 |
| Adaptive Variance Reducing for Stochastic Gradient Descent. Z Shen, H Qian, T Zhou, T Mu International Joint Conference on Artificial Intelligence (IJCAI) 2016, 2016 | 20 | 2016 |
| Close the Optical Sensing Domain Gap by Physics-Grounded Active Stereo Sensor Simulation X Zhang, R Chen, A Li, F Xiang, Y Qin, J Gu, Z Ling, M Liu, P Zeng, S Han, ... IEEE Transactions on Robotics (T-RO), 2023 | 19* | 2023 |
| Refactoring policy for compositional generalizability using self-supervised object proposals T Mu, J Gu, Z Jia, H Tang, H Su Neural Information Processing Systems (NeurIPS) 2020, 2020 | 11 | 2020 |
| Accelerated doubly stochastic gradient algorithm for large-scale empirical risk minimization Z Shen, H Qian, T Mu, C Zhang International Joint Conference on Artificial Intelligence (IJCAI) 2017, 2017 | 7* | 2017 |
| Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning T Mu, K Lin, F Niu, G Thattai Transactions on Machine Learning Research (TMLR), 2022 | 3 | 2022 |
| Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization S Tao, X Li, T Mu, Z Huang, Y Qin, H Su International Conference on Machine Learning (ICML) 2023, 2022 | 2* | 2022 |
| Boosting Reinforcement Learning and Planning with Demonstrations: A Survey T Mu, H Su arXiv preprint arXiv:2303.13489, 2023 | 1 | 2023 |
| AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent T Mu, Y Guo, J Xu, A Goyal, H Su, D Fox, A Garg arXiv preprint arXiv:2404.07428, 2024 | | 2024 |
| Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving Z Ling, Y Fang, X Li, T Mu, M Lee, R Pourreza, R Memisevic, H Su arXiv preprint arXiv:2311.00694, 2023 | | 2023 |
| DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks T Mu, M Liu, H Su International Conference on Learning Representations (ICLR) 2024, 2023 | | 2023 |
| Arena: A Scalable and Configurable Benchmark for Policy Learning S Xu, S Liu, T Mu, Z Jia, Y Wu, H Su | | 2023 |
| Transfer Value or Policy? A Value-centric Framework Towards Transferrable Continuous Reinforcement Learning X Liu, T Mu, H Su | | 2018 |
Hao SuUCSD CSEVerified email at ucsd.edu
