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Dictionary Learning-Based Reinforcement Learning with ...
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由 H Zhao 著作2022被引用 5 次 — The proposed algorithm can obtain the best control performances among compared sparse coding-based RL methods with around 10% increases in reward.
Dictionary Learning-Based Reinforcement Learning with Non ...
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由 H Zhao 著作2022被引用 5 次 — The proposed algorithm can obtain the best control performances among compared sparse coding-based RL methods with around 10% increases in reward.
Dictionary Learning-Based Reinforcement Learning with ...
ResearchGate
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2024年11月21日 — In recent years, many software-based studies have attempted to improve the accuracy of GNSS positioning in complex urban environments.
Dictionary Learning-Based Reinforcement ...
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Dictionary Learning-Based Reinforcement Learning with Non-convex Sparsity Regularizer · List of references · Publications that cite this publication.
Group non-convex sparsity regularized partially shared ...
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由 H Zhao 著作2022被引用 12 次 — This paper proposes the efficient group non-convex sparsity regularized partially shared dictionary learning for multi-view learning.
Haoli Zhao - Google 学术搜索
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A novel dictionary learning method for sparse representation with nonconvex regularizations B Tan, Y Li, H Zhao, X Li, S Ding Neurocomputing 417, 128-141, 2020
Dictionary Learning-Structured Reinforcement ...
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2024年12月9日 — In this paper, we propose a novel Dictionary Learning (DL)-structured RL model with Adaptive-Sparsity Regularizer (ASR) that alleviates the ...
Group non-convex sparsity regularized partially shared ...
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由 H Zhao 著作2022被引用 12 次 — This paper proposes the efficient group non-convex sparsity regularized partially shared dictionary learning for multi-view learning, which employs the ...
广东工业大学教师主页平台管理系统lizhenni--Home
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Group Non-convex Sparsity Regularized Partially Shared Dictionary Learning for Multi-view Learning ... Reinforcement Learning via Multi-layer Sparse Coding ...
A novel dictionary learning method for sparse ...
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由 B Tan 著作2020被引用 23 次 — In this work, we propose a generalized minimax-concave (GMC) sparse regularization, which is nonconvex, to promote sparsity to design dictionary learning model.