Zwei: A self-play reinforcement learning framework for video transmission services
Video transmission services adopt adaptive algorithms to ensure users' demands. Existing
techniques are often optimized and evaluated by a function that linearly combines several …
techniques are often optimized and evaluated by a function that linearly combines several …
Self-play reinforcement learning for video transmission
Video transmission services adopt adaptive algorithms to ensure users' demands. Existing
techniques are often optimized and evaluated by a function that linearly combines several …
techniques are often optimized and evaluated by a function that linearly combines several …
Tiyuntsong: A self-play reinforcement learning approach for ABR video streaming
Existing reinforcement learning (RL)-based adaptive bitrate (ABR) approaches outperform
the previous fixed control rules based methods by improving the Quality of Experience (QoE) …
the previous fixed control rules based methods by improving the Quality of Experience (QoE) …
Learning tailored adaptive bitrate algorithms to heterogeneous network conditions: A domain-specific priors and meta-reinforcement learning approach
Internet adaptive video streaming is a typical form of video delivery that leverages adaptive
bitrate (ABR) algorithms to provide video services with high quality of experience (QoE) for …
bitrate (ABR) algorithms to provide video services with high quality of experience (QoE) for …
Fedabr: A personalized federated reinforcement learning approach for adaptive video streaming
Y Xu, X Li, Y Yang, Z Lin, L Wang… - 2023 IFIP Networking …, 2023 - ieeexplore.ieee.org
Modern video streaming applications apply adaptive bitrate (ABR) algorithms to enhance
user quality of experience (QoE). The existing model-based ABR algorithms failed to …
user quality of experience (QoE). The existing model-based ABR algorithms failed to …
Towards joint loss and bitrate adaptation in realtime video streaming
Recent years have seen booming development of realtime streaming services, highly
improving user experience in remote work, online education, and entertainment. Unlike …
improving user experience in remote work, online education, and entertainment. Unlike …
Improving mobile interactive video QoE via two-level online cooperative learning
Machine learning models, particularly reinforcement learning (RL), have demonstrated great
potential in optimizing video streaming applications. However, the state-of-the-art solutions …
potential in optimizing video streaming applications. However, the state-of-the-art solutions …
Latency aware adaptive video streaming using ensemble deep reinforcement learning
Y Zhao, QW Shen, W Li, T Xu, WH Niu… - Proceedings of the 27th …, 2019 - dl.acm.org
The development of live broadcasting represents many new technical challenges on
adaptive bitrate (ABR) algorithms, which not only requires stable and high-quality …
adaptive bitrate (ABR) algorithms, which not only requires stable and high-quality …
Metaabr: A meta-learning approach on adaptative bitrate selection for video streaming
W Li, X Li, Y Xu, Y Yang, S Lu - IEEE Transactions on Mobile …, 2023 - ieeexplore.ieee.org
Video streaming is one of the most popular Internet applications that makes up a large
amount of Internet traffic. A fundamental mechanism in video streaming is adaptive bitrate …
amount of Internet traffic. A fundamental mechanism in video streaming is adaptive bitrate …
Ppo-abr: Proximal policy optimization based deep reinforcement learning for adaptive bitrate streaming
Providing a high Quality of Experience (QoE) for video streaming in 5G and beyond 5G
(B5G) networks is challenging due to the dynamic nature of the underlying network …
(B5G) networks is challenging due to the dynamic nature of the underlying network …