… radio and a multi-agent reinforcement learning. Each vehicle-to-vehicle link, as an agent, …
然而,车辆的高速运动带来了CSI变化的极大不确定性,但RL (Reinforcement Learning)提供了一种…

… reinforce⁃ ment learning for distributed dynamic spectrum … of vehicles based on sac
reinforcement learning [J]. Computer … deep reinforcement learning to distributed spectrum access …

… spatiotemporal data driven cognitive Internet of vehicles . … -aware multi-agent deep
reinforcement learning) [21] 方法引入了… 频段的频谱共享(CSS,cellular spectrum sharing)算法 [22] …

… Reinforcement learning based dynamic spectrum access in cognitive Internet of Vehicles[J].
China Communications,2021,18(7):58-68. [ 3 ] LIANG YC,CHEN KC,LI GY,et al…

… Deep reinforcement learning-based dynamic service … Multiple channel access using deep
reinforcement learning for … Dynamic spectrum resource allocation in internet of vehicles …

… CPS vehicles, where a trust metric is defined for each vehicle that is dependent on its
transmission characteristics to generate secure bundles. Another safe grouping for CPS vehicles …

… of dynamic resource allocation and packet schedu鄄 ling for virtual switches in cognitive
Internet of vehicles [J]. … Deep reinforcement learning approaches for content caching in cache鄄…

… Combined with game theory, machine learning and online decisions, the optimization
methods and simulation examples of UAV coalition networks are given. Finally, the application …

… studies the information service technology of vehicle networking from the perspective of …
multi-agent reinforcement learning is proposed. Through the real-time interaction of vehicle …

… collaboration, and the other is cognitive computing based augmented intelligence, in which
a cognitive model is embedded in the machine learning system. This survey describes a …