PPO-ABR: Proximal Policy Optimization based Deep Reinforcement Learning for Adaptive BitRate streaming-Reference-Cited by-同舟云学术

PPO-ABR: Proximal Policy Optimization based Deep Reinforcement Learning for Adaptive BitRate streaming

Published:2023-06-19 Issue: Volume: Page:
ISSN:
Container-title:2023 International Wireless Communications and Mobile Computing (IWCMC)
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Author:

Naresh Mandan¹,Saxena Paresh¹,Gupta Manik¹

Affiliation:

1. BITS Pilani,Dept. of CSIS,Hyderabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10182387/10182368/10182379.pdf?arnumber=10182379

Reference24 articles.

1. Deep reinforcement learning with importance weighted a3c for qoe enhancement in video delivery services;naresh;arXiv preprint arXiv 2304 04527,2023

2. SAC-ABR: Soft Actor-Critic based deep reinforcement learning for Adaptive BitRate streaming

3. Stick: A Harmonious Fusion of Buffer-based and Learning-based Approach for Adaptive Streaming

4. Asynchronous methods for deep reinforcement learning;mnih;CoRR,2016

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1. Quality of Experience Oriented Cross-Layer Optimization for Real-Time XR Video Transmission;IEEE Transactions on Circuits and Systems for Video Technology;2024-08

2. DRL Empowered On-policy and Off-policy ABR for 5G Mobile Ultra-HD Video Delivery;Mobile Networks and Applications;2024-03-28

3. GRadient sharing A3C for Adaptive Bitrate (GRAAB): A DRL Based Approach for Adaptive Video Streaming;2024 International Conference on Information Networking (ICOIN);2024-01-17

4. Deep Reinforcement Learning-Based Approach for Video Streaming: Dynamic Adaptive Video Streaming over HTTP;Applied Sciences;2023-10-26