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2020 – today
- 2024
[j2]Haochen Shi
, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu:
RoboCraft: Learning to see, simulate, and shape elasto-plastic objects in 3D with graph networks. Int. J. Robotics Res. 43(4): 533-549 (2024)- [j1]Changyi Lin, Han Zhang, Jikai Xu, Lei Wu, Huazhe Xu:
9DTact: A Compact Vision-Based Tactile Sensor for Accurate 3D Shape Reconstruction and Generalizable 6D Force Estimation. IEEE Robotics Autom. Lett. 9(2): 923-930 (2024) - [c61]Tao Huang, Guangqi Jiang, Yanjie Ze, Huazhe Xu:
Diffusion Reward: Learning Rewards via Conditional Video Diffusion. ECCV (42) 2024: 478-495 - [c60]Suning Huang, Boyuan Chen, Huazhe Xu, Vincent Sitzmann:
DittoGym: Learning to Control Soft Shape-Shifting Robots. ICLR 2024 - [c59]Kun Lei, Zhengmao He, Chenhao Lu, Kaizhe Hu, Yang Gao, Huazhe Xu:
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization. ICLR 2024 - [c58]Ruizhe Shi, Yuyao Liu, Yanjie Ze, Simon Shaolei Du, Huazhe Xu:
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning. ICLR 2024 - [c57]Lirui Wang, Yiyang Ling, Zhecheng Yuan, Mohit Shridhar, Chen Bao, Yuzhe Qin, Bailin Wang, Huazhe Xu, Xiaolong Wang:
GenSim: Generating Robotic Simulation Tasks via Large Language Models. ICLR 2024 - [c56]Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang:
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL. ICLR 2024 - [c55]Guowei Xu, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé III, Furong Huang, Huazhe Xu:
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. ICLR 2024 - [c54]Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu:
ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization. ICML 2024 - [c53]Tianying Ji, Yu Luo, Fuchun Sun, Xianyuan Zhan, Jianwei Zhang, Huazhe Xu:
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic. ICML 2024 - [c52]Chenhao Lu, Ruizhe Shi, Yuyao Liu, Kaizhe Hu, Simon Shaolei Du, Huazhe Xu:
Rethinking Transformers in Solving POMDPs. ICML 2024 - [c51]Yu Luo, Tianying Ji, Fuchun Sun, Jianwei Zhang, Huazhe Xu, Xianyuan Zhan:
OMPO: A Unified Framework for RL under Policy and Dynamics Shifts. ICML 2024 - [c50]Yu Luo, Tianying Ji, Fuchun Sun, Jianwei Zhang, Huazhe Xu, Xianyuan Zhan:
Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL. ICML 2024 - [c49]Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé III, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang:
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss. ICML 2024 - [c48]Chenchang Li, Zihao Ai, Tong Wu, Xiaosa Li, Wenbo Ding, Huazhe Xu:
DeformNet: Latent Space Modeling and Dynamics Prediction for Deformable Object Manipulation. ICRA 2024: 14770-14776 - [c47]Zhengrong Xue, Han Zhang, Jingwen Cheng, Zhengmao He, Yuanchen Ju, Changyi Lin, Gu Zhang, Huazhe Xu:
ArrayBot: Reinforcement Learning for Generalizable Distributed Manipulation through Touch. ICRA 2024: 16744-16751 - [c46]Dehao Wei, Huazhe Xu:
A Wearable Robotic Hand for Hand-over-Hand Imitation Learning. ICRA 2024: 18113-18119 - [c45]Yuerong Li, Zhengrong Xue, Huazhe Xu:
OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentation. WACV 2024: 6423-6432 - [i77]Yuanchen Ju, Kaizhe Hu, Guowei Zhang, Gu Zhang, Mingrun Jiang, Huazhe Xu:
Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation. CoRR abs/2401.07487 (2024) - [i76]Suning Huang, Boyuan Chen, Huazhe Xu, Vincent Sitzmann:
DittoGym: Learning to Control Soft Shape-Shifting Robots. CoRR abs/2401.13231 (2024) - [i75]Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé III, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang:
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss. CoRR abs/2402.06187 (2024) - [i74]Chenchang Li, Zihao Ai, Tong Wu, Xiaosa Li, Wenbo Ding, Huazhe Xu:
DeformNet: Latent Space Modeling and Dynamics Prediction for Deformable Object Manipulation. CoRR abs/2402.07648 (2024) - [i73]Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu:
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization. CoRR abs/2402.14528 (2024) - [i72]Junting Chen, Yao Mu, Qiaojun Yu, Tianming Wei, Silang Wu, Zhecheng Yuan, Zhixuan Liang, Chao Yang, Kaipeng Zhang, Wenqi Shao, Yu Qiao, Huazhe Xu, Mingyu Ding, Ping Luo:
RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation. CoRR abs/2402.14623 (2024) - [i71]Yanjie Ze, Gu Zhang, Kangning Zhang, Chenyuan Hu, Muhan Wang, Huazhe Xu:
3D Diffusion Policy. CoRR abs/2403.03954 (2024) - [i70]Guoping Pan, Qingwei Ben, Zhecheng Yuan, Guangqi Jiang, Yandong Ji, Jiangmiao Pang, Houde Liu, Huazhe Xu:
RoboDuet: A Framework Affording Mobile-Manipulation and Cross-Embodiment. CoRR abs/2403.17367 (2024) - [i69]Chongkai Gao, Zhengrong Xue, Shuying Deng, Tianhai Liang, Siqi Yang, Lin Shao, Huazhe Xu:
RiEMann: Near Real-Time SE(3)-Equivariant Robot Manipulation without Point Cloud Segmentation. CoRR abs/2403.19460 (2024) - [i68]Zhengmao He, Kun Lei, Yanjie Ze, Koushil Sreenath, Zhongyu Li, Huazhe Xu:
Learning Visual Quadrupedal Loco-Manipulation from Demonstrations. CoRR abs/2403.20328 (2024) - [i67]Chenhao Lu, Ruizhe Shi, Yuyao Liu, Kaizhe Hu, Simon S. Du, Huazhe Xu:
Rethinking Transformers in Solving POMDPs. CoRR abs/2405.17358 (2024) - [i66]Yu Luo, Tianying Ji, Fuchun Sun, Jianwei Zhang, Huazhe Xu, Xianyuan Zhan:
Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL. CoRR abs/2405.18520 (2024) - [i65]Yu Luo, Tianying Ji, Fuchun Sun, Jianwei Zhang, Huazhe Xu, Xianyuan Zhan:
OMPO: A Unified Framework for RL under Policy and Dynamics Shifts. CoRR abs/2405.19080 (2024) - [i64]Haoran He, Can Chang, Huazhe Xu, Ling Pan:
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets. CoRR abs/2406.01150 (2024) - [i63]Zeyuan Liu, Ziyu Huan, Xiyao Wang, Jiafei Lyu, Jian Tao, Xiu Li, Furong Huang, Huazhe Xu:
World Models with Hints of Large Language Models for Goal Achieving. CoRR abs/2406.07381 (2024) - [i62]Hantao Zhou, Tianying Ji, Jianwei Zhang, Fuchun Sun, Huazhe Xu:
RoboGolf: Mastering Real-World Minigolf with a Reflective Multi-Modality Vision-Language Model. CoRR abs/2406.10157 (2024) - [i61]Yongyuan Liang, Tingqiang Xu, Kaizhe Hu, Guangqi Jiang, Furong Huang, Huazhe Xu:
Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion. CoRR abs/2407.10973 (2024) - [i60]Zhecheng Yuan, Tianming Wei, Shuiqi Cheng, Gu Zhang, Yuanpei Chen, Huazhe Xu:
Learning to Manipulate Anywhere: A Visual Generalizable Framework For Reinforcement Learning. CoRR abs/2407.15815 (2024) - [i59]Yuanhang Zhang, Tianhai Liang, Zhenyang Chen, Yanjie Ze, Huazhe Xu:
Catch It! Learning to Catch in Flight with Mobile Dexterous Hands. CoRR abs/2409.10319 (2024) - [i58]Chengkai Hou, Zhengrong Xue, Bingyang Zhou, Jinghan Ke, Lin Shao, Huazhe Xu:
Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features. CoRR abs/2410.02237 (2024) - [i57]Pu Hua, Minghuan Liu, Annabella Macaluso, Yunfeng Lin, Weinan Zhang, Huazhe Xu, Lirui Wang:
GenSim2: Scaling Robot Data Generation with Multi-modal and Reasoning LLMs. CoRR abs/2410.03645 (2024) - 2023
- [c44]Haochen Shi, Huazhe Xu, Samuel Clarke, Yunzhu Li, Jiajun Wu:
RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools. CoRL 2023: 642-660 - [c43]Kaizhe Hu, Ray Chen Zheng, Yang Gao, Huazhe Xu:
Decision Transformer under Random Frame Dropping. ICLR 2023 - [c42]Pu Hua, Yubei Chen, Huazhe Xu:
Simple Emergent Action Representations from Multi-Task Policy Training. ICLR 2023 - [c41]Linfeng Zhao, Huazhe Xu, Lawson L. S. Wong:
Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation. ICLR 2023 - [c40]Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang:
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function. ICLR 2023 - [c39]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 - [c38]Zhengrong Xue, Zhecheng Yuan, Jiashun Wang, Xueqian Wang, Yang Gao, Huazhe Xu:
USEEK: Unsupervised SE(3)-Equivariant 3D Keypoints for Generalizable Manipulation. ICRA 2023: 1715-1722 - [c37]Ray Chen Zheng, Kaizhe Hu, Zhecheng Yuan, Boyuan Chen, Huazhe Xu:
Extraneousness-Aware Imitation Learning. ICRA 2023: 2973-2979 - [c36]Yunfei Li, Chaoyi Pan, Huazhe Xu, Xiaolong Wang, Yi Wu:
Efficient Bimanual Handover and Rearrangement via Symmetry-Aware Actor-Critic Learning. ICRA 2023: 3867-3874 - [c35]Changyi Lin, Ziqi Lin, Shaoxiong Wang, Huazhe Xu:
DTact: A Vision-Based Tactile Sensor that Measures High-Resolution 3D Geometry Directly from Darkness. ICRA 2023: 10359-10366 - [c34]Jialu Gao, Kaizhe Hu, Guowei Xu, Huazhe Xu:
Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning? NeurIPS 2023 - [c33]Jinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu:
CEIL: Generalized Contextual Imitation Learning. NeurIPS 2023 - [c32]Sizhe Yang, Yanjie Ze, Huazhe Xu:
MoVie: Visual Model-Based Policy Adaptation for View Generalization. NeurIPS 2023 - [c31]Zhecheng Yuan, Sizhe Yang, Pu Hua, Can Chang, Kaizhe Hu, Huazhe Xu:
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization. NeurIPS 2023 - [c30]Yanjie Ze, Yuyao Liu, Ruizhe Shi, Jiaxin Qin, Zhecheng Yuan, Jiashun Wang, Huazhe Xu:
H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation. NeurIPS 2023 - [c29]Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang:
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. NeurIPS 2023 - [i56]Sifan Ye, Yixing Wang, Jiaman Li, Dennis Park, C. Karen Liu, Huazhe Xu, Jiajun Wu:
Scene Synthesis from Human Motion. CoRR abs/2301.01424 (2023) - [i55]Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang:
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function. CoRR abs/2302.01244 (2023) - [i54]Kaizhe Hu, Ray Chen Zheng, Yang Gao, Huazhe Xu:
Decision Transformer under Random Frame Dropping. CoRR abs/2303.03391 (2023) - [i53]Tianying Ji, Yu Luo, Fuchun Sun, Xianyuan Zhan, Jianwei Zhang, Huazhe Xu:
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic. CoRR abs/2306.02865 (2023) - [i52]Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang:
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. CoRR abs/2306.13229 (2023) - [i51]Haochen Shi, Huazhe Xu, Samuel Clarke, Yunzhu Li, Jiajun Wu:
RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools. CoRR abs/2306.14447 (2023) - [i50]Jinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu:
CEIL: Generalized Contextual Imitation Learning. CoRR abs/2306.14534 (2023) - [i49]Zhengrong Xue, Han Zhang, Jingwen Cheng, Zhengmao He, Yuanchen Ju, Changyi Lin, Gu Zhang, Huazhe Xu:
ArrayBot: Reinforcement Learning for Generalizable Distributed Manipulation through Touch. CoRR abs/2306.16857 (2023) - [i48]Sizhe Yang, Yanjie Ze, Huazhe Xu:
MoVie: Visual Model-Based Policy Adaptation for View Generalization. CoRR abs/2307.00972 (2023) - [i47]Jialu Gao, Kaizhe Hu, Guowei Xu, Huazhe Xu:
Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning? CoRR abs/2307.07837 (2023) - [i46]Zhecheng Yuan, Sizhe Yang, Pu Hua, Can Chang, Kaizhe Hu, Xiaolong Wang, Huazhe Xu:
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization. CoRR abs/2307.10224 (2023) - [i45]Changyi Lin, Han Zhang, Jikai Xu, Lei Wu, Huazhe Xu:
9DTact: A Compact Vision-Based Tactile Sensor for Accurate 3D Shape Reconstruction and Generalizable 6D Force Estimation. CoRR abs/2308.14277 (2023) - [i44]Yuerong Li, Zhengrong Xue, Huazhe Xu:
OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentation. CoRR abs/2309.06276 (2023) - [i43]Dehao Wei, Huazhe Xu:
A Wearable Robotic Hand for Hand-over-Hand Imitation Learning. CoRR abs/2309.14860 (2023) - [i42]Lirui Wang, Yiyang Ling, Zhecheng Yuan, Mohit Shridhar, Chen Bao, Yuzhe Qin, Bailin Wang, Huazhe Xu, Xiaolong Wang:
GenSim: Generating Robotic Simulation Tasks via Large Language Models. CoRR abs/2310.01361 (2023) - [i41]Yanjie Ze, Yuyao Liu, Ruizhe Shi, Jiaxin Qin, Zhecheng Yuan, Jiashun Wang, Huazhe Xu:
H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation. CoRR abs/2310.01404 (2023) - [i40]Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang:
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL. CoRR abs/2310.07220 (2023) - [i39]Guowei Xu, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé III, Furong Huang, Huazhe Xu:
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. CoRR abs/2310.19668 (2023) - [i38]Ruizhe Shi, Yuyao Liu, Yanjie Ze, Simon S. Du, Huazhe Xu:
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning. CoRR abs/2310.20587 (2023) - [i37]Kun Lei, Zhengmao He, Chenhao Lu, Kaizhe Hu, Yang Gao, Huazhe Xu:
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization. CoRR abs/2311.03351 (2023) - [i36]Tao Huang, Guangqi Jiang, Yanjie Ze, Huazhe Xu:
Diffusion Reward: Learning Rewards via Conditional Video Diffusion. CoRR abs/2312.14134 (2023) - [i35]Ziyu Wang, Yanjie Ze, Yifei Sun, Zhecheng Yuan, Huazhe Xu:
Generalizable Visual Reinforcement Learning with Segment Anything Model. CoRR abs/2312.17116 (2023) - 2022
- [c28]Hao Li, Yizhi Zhang, Junzhe Zhu, Shaoxiong Wang, Michelle A. Lee, Huazhe Xu, Edward H. Adelson, Li Fei-Fei, Ruohan Gao, Jiajun Wu:
See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation. CoRL 2022: 1368-1378 - [c27]Ruihan Yang, Minghao Zhang, Nicklas Hansen, Huazhe Xu, Xiaolong Wang:
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers. ICLR 2022 - [c26]Yunfei Li, Tian Gao, Jiaqi Yang, Huazhe Xu, Yi Wu:
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning. ICML 2022: 12765-12781 - [c25]Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu:
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification. ICML 2022: 17221-17237 - [c24]Zhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan, Xueqian Wang, Ping Luo, Huazhe Xu:
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning. IJCAI 2022: 3702-3708 - [c23]Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra:
Towards Learning to Play Piano with Dexterous Hands and Touch. IROS 2022: 10410-10416 - [c22]Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu:
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance. NeurIPS 2022 - [c21]Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu:
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning. NeurIPS 2022 - [c20]Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu:
RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks. Robotics: Science and Systems 2022 - [c19]Sifan Ye, Yixing Wang, Jiaman Li, Dennis Park, C. Karen Liu, Huazhe Xu, Jiajun Wu:
Scene Synthesis from Human Motion. SIGGRAPH Asia 2022: 26:1-26:9 - [i34]Zhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan, Xueqian Wang, Ping Luo, Huazhe Xu:
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning. CoRR abs/2202.09982 (2022) - [i33]Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu:
RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks. CoRR abs/2205.02909 (2022) - [i32]Yunfei Li, Tian Gao, Jiaqi Yang, Huazhe Xu, Yi Wu:
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning. CoRR abs/2206.12030 (2022) - [i31]Zhengrong Xue, Zhecheng Yuan, Jiashun Wang, Xueqian Wang, Yang Gao, Huazhe Xu:
USEEK: Unsupervised SE(3)-Equivariant 3D Keypoints for Generalizable Manipulation. CoRR abs/2209.13864 (2022) - [i30]Changyi Lin, Ziqi Lin, Shaoxiong Wang, Huazhe Xu:
DTact: A Vision-Based Tactile Sensor that Measures High-Resolution 3D Geometry Directly from Darkness. CoRR abs/2209.13916 (2022) - [i29]Ray Chen Zheng, Kaizhe Hu, Zhecheng Yuan, Boyuan Chen, Huazhe Xu:
Extraneousness-Aware Imitation Learning. CoRR abs/2210.01379 (2022) - [i28]Pu Hua, Yubei Chen, Huazhe Xu:
Simple Emergent Action Representations from Multi-Task Policy Training. CoRR abs/2210.09566 (2022) - [i27]Linfeng Zhao, Huazhe Xu, Lawson L. S. Wong:
Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation. CoRR abs/2210.13542 (2022) - [i26]Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu:
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance. CoRR abs/2212.02064 (2022) - [i25]Hao Li, Yizhi Zhang, Junzhe Zhu, Shaoxiong Wang, Michelle A. Lee, Huazhe Xu, Edward H. Adelson, Li Fei-Fei, Ruohan Gao, Jiajun Wu:
See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation. CoRR abs/2212.03858 (2022) - [i24]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) - [i23]Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu:
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning. CoRR abs/2212.08860 (2022) - 2021
- [b1]Huazhe Xu:
Learning Predictive Models for Efficient Policy Learning. University of California, Berkeley, USA, 2021 - [c18]Jiashun Wang, Huazhe Xu, Jingwei Xu, Sifei Liu, Xiaolong Wang:
Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes. CVPR 2021: 9401-9411 - [c17]Yunfei Li, Yilin Wu, Huazhe Xu, Xiaolong Wang, Yi Wu:
Solving Compositional Reinforcement Learning Problems via Task Reduction. ICLR 2021 - [c16]Zhenggang Tang, Chao Yu, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon Shaolei Du, Yu Wang, Yi Wu:
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization. ICLR 2021 - [c15]Huazhe Xu, Boyuan Chen, Yang Gao, Trevor Darrell:
Zero-shot Policy Learning with Spatial Temporal Reward Decomposition on Contingency-aware Observation. ICRA 2021: 10786-10792 - [c14]Mike Lambeta, Huazhe Xu, Jingwei Xu, Po-Wei Chou, Shaoxiong Wang, Trevor Darrell, Roberto Calandra:
PyTouch: A Machine Learning Library for Touch Processing. ICRA 2021: 13208-13214 - [c13]Jiashun Wang, Huazhe Xu, Medhini Narasimhan, Xiaolong Wang:
Multi-Person 3D Motion Prediction with Multi-Range Transformers. NeurIPS 2021: 6036-6049 - [c12]Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian:
NovelD: A Simple yet Effective Exploration Criterion. NeurIPS 2021: 25217-25230 - [i22]Zhenggang Tang, Chao Yu, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon S. Du, Yu Wang, Yi Wu:
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization. CoRR abs/2103.04564 (2021) - [i21]Yunfei Li, Yilin Wu, Huazhe Xu, Xiaolong Wang, Yi Wu:
Solving Compositional Reinforcement Learning Problems via Task Reduction. CoRR abs/2103.07607 (2021) - [i20]Mike Lambeta, Huazhe Xu, Jingwei Xu, Po-Wei Chou, Shaoxiong Wang, Trevor Darrell, Roberto Calandra:
PyTouch: A Machine Learning Library for Touch Processing. CoRR abs/2105.12791 (2021) - [i19]Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra:
Towards Learning to Play Piano with Dexterous Hands and Touch. CoRR abs/2106.02040 (2021) - [i18]Minghao Zhang, Pingcheng Jian, Yi Wu, Huazhe Xu, Xiaolong Wang:
Disentangled Attention as Intrinsic Regularization for Bimanual Multi-Object Manipulation. CoRR abs/2106.05907 (2021) - [i17]Ruihan Yang, Minghao Zhang, Nicklas Hansen, Huazhe Xu, Xiaolong Wang:
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers. CoRR abs/2107.03996 (2021) - [i16]Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu:
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification. CoRR abs/2111.11188 (2021) - [i15]Jiashun Wang, Huazhe Xu, Medhini Narasimhan, Xiaolong Wang:
Multi-Person 3D Motion Prediction with Multi-Range Transformers. CoRR abs/2111.12073 (2021) - 2020
- [c11]Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, Trevor Darrell:
Hierarchical Style-Based Networks for Motion Synthesis. ECCV (11) 2020: 178-194 - [c10]Yuping Luo, Huazhe Xu, Tengyu Ma:
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling. ICLR 2020 - [c9]Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Trevor Darrell:
Video Prediction via Example Guidance. ICML 2020: 10628-10637 - [c8]Ruihan Yang, Huazhe Xu, Yi Wu, Xiaolong Wang:
Multi-Task Reinforcement Learning with Soft Modularization. NeurIPS 2020 - [i14]Ruihan Yang, Huazhe Xu, Yi Wu, Xiaolong Wang:
Multi-Task Reinforcement Learning with Soft Modularization. CoRR abs/2003.13661 (2020) - [i13]Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Trevor Darrell:
Video Prediction via Example Guidance. CoRR abs/2007.01738 (2020) - [i12]Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, Trevor Darrell:
Hierarchical Style-based Networks for Motion Synthesis. CoRR abs/2008.10162 (2020) - [i11]Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian:
Multi-Agent Collaboration via Reward Attribution Decomposition. CoRR abs/2010.08531 (2020) - [i10]Jiashun Wang, Huazhe Xu, Jingwei Xu, Sifei Liu, Xiaolong Wang:
Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes. CoRR abs/2012.05522 (2020) - [i9]Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian:
BeBold: Exploration Beyond the Boundary of Explored Regions. CoRR abs/2012.08621 (2020)
2010 – 2019
- 2019
- [c7]Hang Gao, Huazhe Xu, Qi-Zhi Cai, Ruth Wang, Fisher Yu, Trevor Darrell:
Disentangling Propagation and Generation for Video Prediction. ICCV 2019: 9005-9014 - [c6]Yuping Luo, Huazhe Xu, Yuanzhi Li, Yuandong Tian, Trevor Darrell, Tengyu Ma:
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees. ICLR (Poster) 2019 - [i8]Yuping Luo, Huazhe Xu, Tengyu Ma:
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling. CoRR abs/1907.05634 (2019) - [i7]Huazhe Xu, Boyuan Chen, Yang Gao, Trevor Darrell:
Scoring-Aggregating-Planning: Learning task-agnostic priors from interactions and sparse rewards for zero-shot generalization. CoRR abs/1910.08143 (2019) - 2018
- [c5]Dennis Lee, Haoran Tang, Jeffrey O. Zhang, Huazhe Xu, Trevor Darrell, Pieter Abbeel:
Modular Architecture for StarCraft II with Deep Reinforcement Learning. AIIDE 2018: 187-193 - [c4]Yang Gao, Huazhe Xu, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell:
Reinforcement Learning from Imperfect Demonstrations. ICLR (Workshop) 2018 - [i6]Yang Gao, Huazhe Xu, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell:
Reinforcement Learning from Imperfect Demonstrations. CoRR abs/1802.05313 (2018) - [i5]Huazhe Xu, Yuanzhi Li, Yuandong Tian, Trevor Darrell, Tengyu Ma:
Algorithmic Framework for Model-based Reinforcement Learning with Theoretical Guarantees. CoRR abs/1807.03858 (2018) - [i4]Dennis Lee, Haoran Tang, Jeffrey O. Zhang, Huazhe Xu, Trevor Darrell, Pieter Abbeel:
Modular Architecture for StarCraft II with Deep Reinforcement Learning. CoRR abs/1811.03555 (2018) - [i3]Hang Gao, Huazhe Xu, Qi-Zhi Cai, Ruth Wang, Fisher Yu, Trevor Darrell:
Disentangling Propagation and Generation for Video Prediction. CoRR abs/1812.00452 (2018) - 2017
- [c3]Huazhe Xu, Yang Gao, Fisher Yu, Trevor Darrell:
End-to-End Learning of Driving Models from Large-Scale Video Datasets. CVPR 2017: 3530-3538 - 2016
- [c2]Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell:
Natural Language Object Retrieval. CVPR 2016: 4555-4564 - [i2]Huazhe Xu, Yang Gao, Fisher Yu, Trevor Darrell:
End-to-end Learning of Driving Models from Large-scale Video Datasets. CoRR abs/1612.01079 (2016) - 2015
- [c1]Tian Xie, Qian Han, Huazhe Xu, Zihao Qi, Wenqian Shen:
A Low-Complexity Linear Precoding Scheme Based on SOR Method for Massive MIMO Systems. VTC Spring 2015: 1-5 - [i1]Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell:
Natural Language Object Retrieval. CoRR abs/1511.04164 (2015)
Coauthor Index
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