Sökning: "Marcus Kastengren"
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1. Offline Reinforcement Learning for Remote Electrical Tilt Optimization : An application of Conservative Q-Learning
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : In telecom networks adjusting the tilt of antennas in an optimal manner, the so called remote electrical tilt (RET) optimization, is a method to ensure quality of service (QoS) for network users. Tilt adjustments made during operations in real-world networks are usually executed through a suboptimal policy, and a significant amount of data is collected during the execution of such policy. LÄS MER
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