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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)Backup Path with Energy Prediction Based on Energy-Aware Spanning Tree in Wireless Sensor Networks., , , and . CyberC, page 392-397. IEEE Computer Society, (2013)Reinforcement learning based radio resource scheduling in LTE-advanced., , , , and . ICAC, page 219-224. IEEE, (2011)Dynamic data aggregation protocol based on multiple objective tree in Wireless Sensor Networks., , , and . ISSNIP, page 1-7. IEEE, (2015)A Comparison of Reinforcement Learning Algorithms in Fairness-Oriented OFDMA Schedulers., , , , , and . Information, 10 (10): 315 (2019)QoS-Driven Scheduling in 5G Radio Access Networks - A Reinforcement Learning Approach., , and . GLOBECOM, page 1-7. IEEE, (2017)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)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)360° Mulsemedia: A Way to Improve Subjective QoE in 360° Videos., , , , , , and . ACM Multimedia, page 2378-2386. ACM, (2019)