An Actor-Critic Reinforcement Learning Approach to Minimum age of Information Scheduling in Energy Harvesting Networks

Author:

Leng Shiyang,Yener Aylin

Publisher

IEEE

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Aequitas: A 5G Scheduler for Minimizing Outdated Information in IoT Networks;IEEE Internet of Things Journal;2024-07-01

2. Collaborative Optimization of the Age of Information Under Partial Observability;2024 IFIP Networking Conference (IFIP Networking);2024-06-03

3. Atlas: Hybrid Cloud Migration Advisor for Interactive Microservices;Proceedings of the Nineteenth European Conference on Computer Systems;2024-04-22

4. Towards V2I Age-Aware Fairness Access: A DQN Based Intelligent Vehicular Node Training and Test Method;Chinese Journal of Electronics;2023-11

5. Freshness-aware Content Update for Earth Observation: Trading Off AoI and Accuracy;2023 IEEE 31st International Conference on Network Protocols (ICNP);2023-10-10

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