Deepreinforcementlearning相关论文
This paper proposes a deep-Q-network(DQN)controller for network selection and adaptive resource allocation in hetero-gen......
HDR-Net-Fusion:Real-time 3D dynamic scene reconstruction with a hierarchical deep reinforcement netw
Reconstructing dynamic scenes with commodity depth cameras has many applications in computer graphics,computer vision,an......
Road pricing is an urban traffic management mechanism to reduce traffic congestion.Currently,most of the road pricing sy......
Optimal control strategy for COVID-19 concerning both life and economy based on deep reinforcement l
At present,the global COVID-19 is still severe.More and more countries have experienced second or even third outbreaks.T......
移动边缘计算(MEC)在提高移动设备的计算体验质量方面具有一定的应用前景.它可以为支持传统通信和MEC服务的切片式无线接入网提供......
With the rapid development of vehicle-based applications,entertainment videos have gained popularity for passengers on p......
A novel deep reinforcement learning-based steering control method of autonomous vehicles is proposed.A distortionless co......
Using relay in the wireless communication network is an efficient way to ensure the data transmission to the distant rec......
Segment Routing(SR)is a new routing paradigm based on source routing and provide traffic engineering(TE)capabilities in ......
Intelligent resource allocation in mobile blockchain for privacy and security transactions:a deep re
In order to protect the privacy and data security of mobile devices during the transactions in the industrial Internet o......
Navigation is a fundamental problem of mobile robots,for which Deep Reinforcement Learning(DRL)has received significant ......
In 2020,mobile communications is considered to be one of the fastest growing parts of the communications industry.At pre......
Reinforcement learning can be modeled as markov decision process mathematically.In consequence,the interaction samples a......
