… We will deepen reform of the system for managing science and technology, optimize the
allocation of relevant resources, and improve the legal guarantee, policy system, incentive …

… 针对上述问题,本文提出一种基于深度强化学 习(Deep Reinforcement Learning, DRL)的低轨
卫 星跳波束资源分配方案.本文主要的贡献如下: (1)根据LEO场景特点,本文联合星上缓冲信息, …

… In response to this problem, a Deep Reinforcement Learning (DRL) Resource allocation …
城镇用户业务通信 以5G地面基站(the next generation Node B, gNB)为主,无人机(Unmanned …

… of network resource utilization. This paper constructs a user-centric dynamic allocation model
of wireless resources, and proposes a deep Q-network based dynamic resource allocation …

… deep learning algorithms to predict the service characteristics and propagation environments,
and make decisions for radio resource allocation, … requirements for next generation access …

… ,and computing for connected vehicles:A deep reinforcement learning approach[J]. IEEE …
Deep reinforcement learning based mode selection and resource allocation for cellular V2X …

… allocation in cognitive radio networks, we propose a cooperative reinforcement learning
spectrum allocation … cognitive network as agents in the reinforcement learning, and introduces a …

… (Deep Reinforcement Learning, DRL)的协同内容缓存方案.文献[11,12] 使用深度确定性策略
梯度(Deep … A gametheoretic approach to cache and radio resource management in fog radio …

… A deepreinforcement learning approach for software-defined networking routing optimization.
https://arxiv.org/abs/1709.07080 Sternad M, Aronsson D, 2003. Channel estimation and …

… Power control based on deep reinforcement learning for … Reinforcement learning for slicing
in a 5G flexible ran[J]. … Optimal and fast real鄄time resource slicing with deep dueling neu鄄 …