Multi-Agent Reinforcement Learning for Cooperative Edge Caching in Internet of Vehicles
Author:
Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9355967/9356008/09356080.pdf?arnumber=9356080
Cited by 21 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. Cooperative Edge Caching Based on Elastic Federated and Multi-Agent Deep Reinforcement Learning in Next-Generation Networks;IEEE Transactions on Network and Service Management;2024-08
2. Proactive Caching With Distributed Deep Reinforcement Learning in 6G Cloud-Edge Collaboration Computing;IEEE Transactions on Parallel and Distributed Systems;2024-08
3. Distributed Edge Caching for Zero Trust-Enabled Connected and Automated Vehicles: A Multi-Agent Reinforcement Learning Approach;IEEE Wireless Communications;2024-04
4. Security Enhancement for Deep Reinforcement Learning-Based Strategy in Energy-Efficient Wireless Sensor Networks;Sensors;2024-03-21
5. Network Sliced Distributed Learning-as-a-Service for Internet of Vehicles Applications in 6G Non-Terrestrial Network Scenarios;Journal of Sensor and Actuator Networks;2024-02-07
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