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Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers


Jul 08, 2021
Ruihan Yang, Minghao Zhang, Nicklas Hansen, Huazhe Xu, Xiaolong Wang

* Our project page with videos is at https://RchalYang.github.io/LocoTransformer 

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Disentangled Attention as Intrinsic Regularization for Bimanual Multi-Object Manipulation


Jul 06, 2021
Minghao Zhang, Pingcheng Jian, Yi Wu, Huazhe Xu, Xiaolong Wang

* Webpage: https://mehooz.github.io/bimanual-attention/ 

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Towards Learning to Play Piano with Dexterous Hands and Touch


Jun 08, 2021
Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra


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PyTouch: A Machine Learning Library for Touch Processing


May 26, 2021
Mike Lambeta, Huazhe Xu, Jingwei Xu, Po-Wei Chou, Shaoxiong Wang, Trevor Darrell, Roberto Calandra

* 7 pages. Accepted at ICRA 2021 

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Solving Compositional Reinforcement Learning Problems via Task Reduction


Mar 19, 2021
Yunfei Li, Yilin Wu, Huazhe Xu, Xiaolong Wang, Yi Wu

* Project website link updated 

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Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization


Mar 12, 2021
Zhenggang Tang, Chao Yu, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon Du, Yu Wang, Yi Wu

* Accepted paper on ICLR 2021. First two authors share equal contribution 

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BeBold: Exploration Beyond the Boundary of Explored Regions


Dec 15, 2020
Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian


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Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes


Dec 10, 2020
Jiashun Wang, Huazhe Xu, Jingwei Xu, Sifei Liu, Xiaolong Wang


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Multi-Agent Collaboration via Reward Attribution Decomposition


Oct 16, 2020
Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian


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Hierarchical Style-based Networks for Motion Synthesis


Aug 24, 2020
Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, Trevor Darrell

* ECCV 2020, Project Page:\ 

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Video Prediction via Example Guidance


Jul 03, 2020
Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Trevor Darrell

* ICML 2020 
* Project Page: https://sites.google.com/view/vpeg-supp/home 

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Multi-Task Reinforcement Learning with Soft Modularization


Mar 30, 2020
Ruihan Yang, Huazhe Xu, Yi Wu, Xiaolong Wang

* Our project page: https://rchalyang.github.io/SoftModule 

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Scoring-Aggregating-Planning: Learning task-agnostic priors from interactions and sparse rewards for zero-shot generalization


Oct 17, 2019
Huazhe Xu, Boyuan Chen, Yang Gao, Trevor Darrell


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Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling


Aug 01, 2019
Yuping Luo, Huazhe Xu, Tengyu Ma


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Disentangling Propagation and Generation for Video Prediction


Dec 02, 2018
Hang Gao, Huazhe Xu, Qi-Zhi Cai, Ruth Wang, Fisher Yu, Trevor Darrell


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Modular Architecture for StarCraft II with Deep Reinforcement Learning


Nov 08, 2018
Dennis Lee, Haoran Tang, Jeffrey O Zhang, Huazhe Xu, Trevor Darrell, Pieter Abbeel

* Accepted to The 14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE'18) 

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Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees


Oct 19, 2018
Yuping Luo, Huazhe Xu, Yuanzhi Li, Yuandong Tian, Trevor Darrell, Tengyu Ma


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End-to-end Learning of Driving Models from Large-scale Video Datasets


Jul 23, 2017
Huazhe Xu, Yang Gao, Fisher Yu, Trevor Darrell

* camera ready for CVPR2017 

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Natural Language Object Retrieval


Apr 11, 2016
Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell

* Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016 

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