… machine learning applications expected to run the machine … (or computers) that mimic "cognitive"
functions that humans … in a natural cerebrum, can transmit a sign to various neurons. …

… Backscatter network resource allocation algorithm based on deep reinforcement learning[J]. …
and transmit power allocation in ultra-dense IoT networks [ J]. IEEE Internet of Things …

… a deep reinforcement learning based energy efficient opportunistic routing algorithm for … It
can also be seen that during the training process, the transmission time of ODQN-Routing and …

… resource allocation optimization based on deep reinforcement learning[J]. … Deep reinforcement
learning鄄based multidimensional resource management for energy harvesting cognitive …

… -convex optimization problem to obtain the optimal transmit beam … propose an optimal and
low-complexity algorithm to obtain … 受深度强化学习(deep reinforcement learning, DRL) 在其他…

… mode and deep reinforcement learning(DRL) algorithm. The … find the optimal path of
information transmission. Furthermore,in the … Internet of Things;cognitive radio;deep reinforcement …

… Based on deep reinforcement learning ( DRL),an efficient AP selection … Two-step transmit
antenna selection algorithms for massive MIMO[C] / / … on Cognitive Communications …

… distributed spectrum allocation in high-density cognitive Internet of things. IEEE Int Thing J,
… paper summarizes the applications of reinforcement learning, online learning, and transfer …

… In [93], the authors proposed a safe grouping technique for CPS vehicles, where a trust metric
is defined for each vehicle that is dependent on its transmission characteristics to generate …

… 针对网络结构复杂,动态性高,资源高度约 束等问题,提出了基于强化学习(RL, reinforcement
learning)的空天地一体化网络设计与优化框架,以进行高效 快速的网络设计,分析,优化与管控.同时给…