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Improved Quality of Online Education Using Prioritized Multi-Agent Reinforcement Learning for Video Traffic Scheduling.

, , , , , , , and . IEEE Trans. Broadcast., 69 (2): 436-454 (June 2023)

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Self-Learning-Based Data Aggregation Scheduling Policy in Wireless Sensor Networks., , , and . J. Sensors, (2018)Evaluating QoS Parameters for IPTV Distribution in Heterogeneous Networks., and . CoRR, (2015)Reinforcement learning based radio resource scheduling in LTE-advanced., , , , and . ICAC, page 219-224. IEEE, (2011)Backup Path with Energy Prediction Based on Energy-Aware Spanning Tree in Wireless Sensor Networks., , , and . CyberC, page 392-397. IEEE Computer Society, (2013)Dynamic data aggregation protocol based on multiple objective tree in Wireless Sensor Networks., , , and . ISSNIP, page 1-7. IEEE, (2015)QoS-Driven Scheduling in 5G Radio Access Networks - A Reinforcement Learning Approach., , and . GLOBECOM, page 1-7. IEEE, (2017)A Comparison of Reinforcement Learning Algorithms in Fairness-Oriented OFDMA Schedulers., , , , , and . Information, 10 (10): 315 (2019)An Innovative Reinforcement Learning-Based Framework for Quality of Service Provisioning Over Multimedia-Based SDN Environments., , , , and . IEEE Trans. Broadcast., 67 (4): 851-867 (2021)Work-in-Progress-Motion Tracking Data as a Proxy for Cognitive Load in Immersive Learning., , , and . iLRN, page 1-3. IEEE, (2022)Construction of Data Aggregation Tree for Multi-objectives in Wireless Sensor Networks through Jump Particle Swarm Optimization., , , , and . KES, volume 35 of Procedia Computer Science, page 73-82. Elsevier, (2014)