A Deep Reinforcement Learning Approach for Point Cloud Video Transmissions
Author:
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9624467/9625043/09625496.pdf?arnumber=9625496
Cited by 5 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. Adaptive Cooperative Streaming of Holographic Video Over Wireless Networks: A Proximal Policy Optimization Solution;IEEE Wireless Communications Letters;2024-09
2. A Deep Reinforcement Learning-Based Optimal Transmission Control Method for Streaming Videos;IEEE Access;2024
3. Reinforcement Learning-Based Rate Adaptation for Point Cloud Streaming;2023 IEEE 9th World Forum on Internet of Things (WF-IoT);2023-10-12
4. Trans-RL: A Prediction-Control Approach for QoE-Aware Point Cloud Video Streaming;GLOBECOM 2022 - 2022 IEEE Global Communications Conference;2022-12-04
5. Transformer-driven multi-agent deep reinforcement learning based point cloud video transmissions;Proceedings of the 1st Workshop on Digital Twin & Edge AI for Industrial IoT;2022-10-17
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