Dynamic Push for HTTP Adaptive Streaming with Deep Reinforcement Learning
Author:
Affiliation:
1. School of Computer Science and Technology, Xi'an Jiaotong University,SPKLSTN Lab,Xi'an,China,710049
Funder
National Key R&D Program of China
National Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9763565/9763668/09763767.pdf?arnumber=9763767
Reference33 articles.
1. mDASH: A Markov Decision-Based Rate Adaptation Approach for Dynamic HTTP Streaming
2. DRL360: 360-degree Video Streaming with Deep Reinforcement Learning
3. Improving Power Efficiency for Online Video Streaming Service: A Self-Adaptive Approach
4. A Control-Theoretic Approach for Dynamic Adaptive Video Streaming over HTTP
5. HTTP/2-Based Methods to Improve the Live Experience of Adaptive Streaming
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