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检索条件"机构=Key Lab. of Embedded System and Service Computing"
37 条 记 录,以下是1-10 订阅
Focus On What Matters: Separated Models For Visual-Based RL Generalization  38
Focus On What Matters: Separated Models For Visual-Based RL ...
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38th Conference on Neural Information Processing systems, NeurIPS 2024
作者: Zhang, Di Lv, Bowen Zhang, Hai Yang, Feifan Zhao, Junqiao Yu, Hang Huang, Chang Zhou, Hongtu Ye, Chen Jiang, Changjun Department of Computer Science Tongji University Shanghai China MOE Key Lab of Embedded System and Service Computing Tongji University Shanghai China
A primary challenge for visual-based Reinforcement Learning (RL) is to generalize effectively across unseen environments. Although previous studies have explored different auxiliary tasks to enhance generalization, fe...
来源: 评论
Focus on what matters: separated models for visual-based RL generalization  24
Focus on what matters: separated models for visual-based RL ...
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Proceedings of the 38th International Conference on Neural Information Processing systems
作者: Di Zhang Bowen Lv Hai Zhang Feifan Yang Junqiao Zhao Hang Yu Chang Huang Hongtu Zhou Chen Ye Changjun Jiang Department of Computer Science Tongji University Shanghai China and MOE Key Lab of Embedded System and Service Computing Tongji University Shanghai China
A primary challenge for visual-based Reinforcement Learning (RL) is to generalize effectively across unseen environments. Although previous studies have explored different auxiliary tasks to enhance generalization, fe...
来源: 评论
Focus On What Matters: Separated Models For Visual-Based RL Generalization
arXiv
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arXiv 2024年
作者: Zhang, Di Lv, Bowen Zhang, Hai Yang, Feifan Zhao, Junqiao Yu, Hang Huang, Chang Zhou, Hongtu Ye, Chen Jiang, Changjun Department of Computer Science Tongji University Shanghai China MOE Key Lab of Embedded System and Service Computing Tongji University Shanghai China
A primary challenge for visual-based Reinforcement Learning (RL) is to generalize effectively across unseen environments. Although previous studies have explored different auxiliary tasks to enhance generalization, fe... 详细信息
来源: 评论
Safe Reinforcement Learning with Dead-Ends Avoidance and Recovery
arXiv
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arXiv 2023年
作者: Zhang, Xiao Zhang, Hai Zhou, Hongtu Huang, Chang Zhang, Di Ye, Chen Zhao, Junqiao The Department of Computer Science and Technology Tongji University China The MOE Key Lab of Embedded System and Service Computing Tongji University China
Safety is one of the main challenges in applying reinforcement learning to realistic environmental tasks. To ensure safety during and after training process, existing methods tend to adopt overly conservative policy t... 详细信息
来源: 评论
How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization
arXiv
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arXiv 2023年
作者: Zhang, Hai Yu, Hang Zhao, Junqiao Zhang, Di Huang, Chang Zhou, Hongtu Zhang, Xiao Ye, Chen Department of Computer Science Tongji University Shanghai China MOE Key Lab of Embedded System and Service Computing Tongji University Shanghai China
Designing and deriving effective model-based reinforcement learning (MBRL) algorithms with a performance improvement guarantee is challenging, mainly attributed to the high coupling between model learning and policy o... 详细信息
来源: 评论
How to fine-tune the model: unified model shift and model bias policy optimization  23
How to fine-tune the model: unified model shift and model bi...
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Proceedings of the 37th International Conference on Neural Information Processing systems
作者: Hai Zhang Hang Yu Junqiao Zhao Di Zhang Chang Huang Hongtu Zhou Xiao Zhang Chen Ye Department of Computer Science Tongji University Shanghai China and MOE Key Lab of Embedded System and Service Computing Tongji University Shanghai China
Designing and deriving effective model-based reinforcement learning (MBRL) algorithms with a performance improvement guarantee is challenging, mainly attributed to the high coupling between model learning and policy o...
来源: 评论
Convex Hull-based Algebraic Constraint for Visual Quadric SLAM
arXiv
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arXiv 2025年
作者: Yu, Xiaolong Zhao, Junqiao Song, Shuangfu Zhu, Zhongyang Yuan, Zihan Ye, Chen Feng, Tiantian School of Computer Science and Technology Tongji University Shanghai China The MOE Key Lab of Embedded System and Service Computing Tongji University Shanghai China Institute of Intelligent Vehicles Tongji University Shanghai China School of Surveying and Geo-Informatics Tongji University Shanghai China
Using Quadrics as the object representation has the benefits of both generality and closed-form projection derivation between image and world spaces. Although numerous constraints have been proposed for dual quadric r... 详细信息
来源: 评论
MVC-VPR: Mutual Learning of Viewpoint Classification and Visual Place Recognition
arXiv
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arXiv 2024年
作者: Gu, Qiwen Wang, Xufei Zhang, Fenglin Zhao, Junqiao Tao, Siyue Ye, Chen Feng, Tiantian Jiang, Changjun Department of Computer Science and Technology School of Electronics and Information Engineering Tongji University Shanghai China The Shanghai Research Institute for Intelligent Autonomous System Tongji University Shanghai China The MOE Key Lab of Embedded System and Service Computing Tongji University Shanghai China School of Surveying and Geo-Informatics Tongji University Shanghai China
Visual Place Recognition (VPR) aims to robustly identify locations by leveraging image retrieval based on descriptors encoded from environmental images. However, drastic appearance changes of images captured from diff... 详细信息
来源: 评论
LOG-LIO2: A LiDAR-Inertial Odometry with Efficient Uncertainty Analysis
arXiv
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arXiv 2024年
作者: Huang, Kai Zhao, Junqiao Lin, Jiaye Zhu, Zhongyang Song, Shuangfu Ye, Chen Feng, Tiantian The School of Surveying and Geo-Informatics Tongji University Shanghai China Department of Computer Science and Technology School of Electronics and Information Engineering Tongji University Shanghai China The MOE Key Lab of Embedded System and Service Computing Tongji University Shanghai China Institute of Intelligent Vehicles Tongji University Shanghai China
Uncertainty in LiDAR measurements, stemming from factors such as range sensing, is crucial for LIO (LiDAR-Inertial Odometry) systems as it affects the accurate weighting in the loss function. While recent LIO systems ... 详细信息
来源: 评论
Meta Balanced Network for Fair Face Recognition
arXiv
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arXiv 2022年
作者: Wang, Mei Zhang, Yaobin Deng, Weihong The Pattern Recognition and Intelligent System Lab. School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing China Key Lab. of Trustworthy Distributed Computing and Service Ministry of Education Beijing University of Posts and Telecommunications Beijing China
Although deep face recognition has achieved impressive progress in recent years, controversy has arisen regarding discrimination based on skin tone, questioning their deployment into real-world scenarios. In this pape... 详细信息
来源: 评论