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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: 

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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: 

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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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