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2020 – today
- 2023
[i37]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)- [i36]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) - [i35]Kaizhe Hu, Ray Chen Zheng, Yang Gao, Huazhe Xu:
Decision Transformer under Random Frame Dropping. CoRR abs/2303.03391 (2023) - 2022
- [c25]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 - [c24]Ruihan Yang, Minghao Zhang, Nicklas Hansen, Huazhe Xu, Xiaolong Wang:
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers. ICLR 2022 - [c23]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 - [c22]Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu:
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification. ICML 2022: 17221-17237 - [c21]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 - [c20]Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra:
Towards Learning to Play Piano with Dexterous Hands and Touch. IROS 2022: 10410-10416 - [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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last updated on 2023-03-26 00:47 CET by the dblp team
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