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Training Deep Q-Network Via Monte Carlo Tree Search for Adaptive Bitrate Control in Video Delivery

https://doi.org/10.2139/ssrn.4757662
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inferredcites →https://doi.org/10.1007/11871842_29openalex-extracted
Bandit Based Monte-Carlo Planning
inferredcites →https://doi.org/10.1007/978-0-387-21617-1openalex-extracted
Monte Carlo Methods in Financial Engineering
inferredcites →https://doi.org/10.1007/978-1-4757-3552-9openalex-extracted
Discrete-Event Simulation
inferredcites →https://doi.org/10.1007/978-3-540-75538-8_7openalex-extracted
Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search
inferredcites →https://doi.org/10.1016/0304-405x(76)90022-2openalex-extracted
Option pricing when underlying stock returns are discontinuous
inferredcites →https://doi.org/10.1017/s0001867800033048openalex-extracted
Comparing stochastic systems using regenerative simulation with common random numbers
inferredcites →https://doi.org/10.1090/s0002-9904-1954-09848-8openalex-extracted
The theory of dynamic programming
inferredcites →https://doi.org/10.1109/comst.2017.2725241openalex-extracted
Adaptive Bitrate Selection: A Survey
inferredcites →https://doi.org/10.1109/comst.2018.2862938openalex-extracted
A Survey on Bitrate Adaptation Schemes for Streaming Media Over HTTP
inferredcites →https://doi.org/10.1109/tnet.2020.2996964openalex-extracted
BOLA: Near-Optimal Bitrate Adaptation for Online Videos
inferredcites →https://doi.org/10.1109/wsc.1990.129543openalex-extracted
Use of common random numbers in comparing alternatives
inferredcites →https://doi.org/10.1145/2018436.2018478openalex-extracted
Understanding the impact of video quality on user engagement
inferredcites →https://doi.org/10.1145/2428556.2428577openalex-extracted
Understanding the impact of video quality on user engagement
inferredcites →https://doi.org/10.1145/2483977.2483991openalex-extracted
Commute path bandwidth traces from 3G networks
inferredcites →https://doi.org/10.1145/2785956.2787486openalex-extracted
A Control-Theoretic Approach for Dynamic Adaptive Video Streaming over HTTP
inferredcites →https://doi.org/10.1145/3098822.3098843openalex-extracted
Neural Adaptive Video Streaming with Pensieve
inferredcites →https://doi.org/10.1145/318242.318452openalex-extracted
A Bonferroni selection procedure when using commom random numbers with unknown variances
inferredcites →https://doi.org/10.1287/mnsc.41.12.1935openalex-extracted
Using Common Random Numbers for Indifference-Zone Selection and Multiple Comparisons in Simulation
inferredcites →https://doi.org/10.1287/mnsc.47.8.1133.10229openalex-extracted
New Procedures to Select the Best Simulated System Using Common Random Numbers
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-extracted
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1511.06581openalex-extracted
Dueling Network Architectures for Deep Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1602.01783openalex-extracted
Asynchronous Methods for Deep Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.2008.08804openalex-extracted
Assessing the Quality-of-Experience of Adaptive Bitrate Video Streaming
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