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Reinforcement learning algorithms for DASH video streaming
Dynamic Adaptive Streaming over HTTP (DASH) is a video streaming standard developed in 2011; the servers have several copies of every video at different bitrates, leaving the clients complete freedom to choose the bitrate of each segment and adapt to the available bandwidth. The research on client-side strategies to optimize user Quality of Experience (QoE) is ongoing; one of the most promising...
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In recent years, researches on reinforcement learning (RL) have focused on bridging the gap between adaptive optimal control and bio-inspired learning techniques. Neural network reinforcement learning (NNRL) is among the most popular algorithms in the RL framework. The advantage of using neural networks enables the RL to search for optimal policies more efficiently in several real-life applicat...
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in recent years, researches on reinforcement learning (rl) have focused on bridging the gap between adaptive optimal control and bio-inspired learning techniques. neural network reinforcement learning (nnrl) is among the most popular algorithms in the rl framework. the advantage of using neural networks enables the rl to search for optimal policies more efficiently in several real-life applicat...
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ژورنال
عنوان ژورنال: International Journal of Advanced Networking and Applications
سال: 2020
ISSN: 0975-0290,0975-0282
DOI: 10.35444/ijana.2020.11052