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

Author:

Naresh Mandan1,Gireesh Nandiraju1,Saxena Paresh1,Gupta Manik1

Affiliation:

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

Funder

SERB

Publisher

IEEE

Reference26 articles.

1. A Control-Theoretic Approach for Dynamic Adaptive Video Streaming over HTTP

2. TensorFlow: Large-scale machine learning on heterogeneous systems;abadi;software available from tensorflow org,2015

3. The ACM Multimedia 2019 Live Video Streaming Grand Challenge

4. Oboe

5. Qtcp: Adaptive congestion control with reinforcement learning, department of electrical and computer engineering, northeastern university, boston;li;GLOBE-COM 2020 – 2020 IEEE Global Commun Conf,0

Cited by 3 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. PPO-ABR: Proximal Policy Optimization based Deep Reinforcement Learning for Adaptive BitRate streaming;2023 International Wireless Communications and Mobile Computing (IWCMC);2023-06-19

2. Deep Reinforcement Learning with Importance Weighted A3C for QoE enhancement in Video Delivery Services;2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM);2023-06

3. SAC-AP: Soft Actor Critic based Deep Reinforcement Learning for Alert Prioritization;2022 IEEE Congress on Evolutionary Computation (CEC);2022-07-18

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