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	Mitigating cascading failure in power grids with deep reinforcement learning-based remedial actions Journal article Reliability Engineering and System Safety,2024, volume: 250 Authors: Zhang, Xi; Wang, Qin; Bi, Xiaowen; Li, Donghong; Liu, Dong Favorite \| View/Download：4/0 \| Submit date：2025/01/14 Cascading failure Deep reinforcement learning Mitigation Power grid Proximal policy optimization Remedial action
	Dynamic User-Scheduling and Power Allocation for SWIPT Aided Federated Learning: A Deep Learning Approach Journal article IEEE Transactions on Mobile Computing,2023, volume: 22, issue: 12, pages: 6956-6969 Authors: Li, Yang; Wu, Yuan; Song, Yuxiao; Qian, Liping; Jia, Weijia Favorite \| View/Download：15/0 \| Submit date：2024/01/22 and proximal policy optimization deep reinforcement learning dynamic user-scheduling Federated learning stochastic shortest path SWIPT