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Feb, 2025
无线网络动态资源分配的深度强化学习
Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless Networks
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Shubham Malhotra
TL;DR
本研究解决了无线通信系统中动态资源分配的效率问题。通过应用深度强化学习(DRL)算法,并比较不同算法和学习率对资源分配优化的影响,研究表明DRL在资源分配效率上显著优于传统方法,能够显著提升系统性能。
Abstract
This report investigates the application of
Deep Reinforcement Learning
(DRL) algorithms for
Dynamic Resource Allocation
in wireless communication systems. An environment that includes a base station, multiple an
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