Search Results for author: Bifei Mao

Found 2 papers, 1 papers with code

Constrained Reinforcement Learning for Dynamic Material Handling

1 code implementation • 23 May 2023 • Chengpeng Hu, ZiMing Wang, Jialin Liu, Junyi Wen, Bifei Mao, Xin Yao

Experimental results on the problem instances demonstrate the outstanding performance of our proposed approach compared with eight state-of-the-art constrained and non-constrained reinforcement learning algorithms, and widely used dispatching rules for material handling.

reinforcement-learning Reinforcement Learning +1

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Robust Deep Learning Models Against Semantic-Preserving Adversarial Attack

no code implementations • 8 Apr 2023 • Dashan Gao, Yunce Zhao, Yinghua Yao, Zeqi Zhang, Bifei Mao, Xin Yao

In this paper, we study the robustness of deep learning models against joint perturbations by proposing a novel attack mechanism named Semantic-Preserving Adversarial (SPA) attack, which can then be used to enhance adversarial training.

Adversarial Attack Attribute +3

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