deepreinforcementlearning(DRL)相关论文
To solve the problems of difficult control law design,poor portability,and poor stability of traditional multi-agent for......
Active flow control with rotating cylinders by an artificial neural network trained by deep reinforc
In this paper,an artificial neural network (ANN) trained through a deep reinforcement learning (DRL) agent is used to pe......
In recent years,artificial neural networks (ANNs) and deep learning have become increasingly popular across a wide range......
With the rapid development of air transportation in recent years, airport operations have attrac-ted a lot of attention.......
Optimizing MDS-coded cache-enable wireless network:a blockchain-based cooperative deep reinforcement
Mobile distributed caching(MDC)as an emerging technology has drawn attentions for its abili-ty to shorten the distance b......
