… the AANET environment to reinforcement learning. Here, the … stability, we consider that the
direction, expiration time, and … -hoc networks (FANETs) like unmanned aerial vehicles (UAVs). …

… offers a new and prospective research direction. In this paper, … Multi-agent deep reinforcement
learning for urban traffic light … Optimal UAVs formation transformation strategy based on …

… , and the research development in some critical directions are … Intelligent resource
management based on reinforcement learning … UAV relay in VANETs against smart jamming with …

… This study designs two scenarios for agricultural UAV crop … It will also become the
development direction of new … Placement optimization for UAV-enabled wireless networks with …

… We also presented three possible technical schemes and detailed explanations and
finally proposed future research directions. We believe that the future development trend of …

… , and a deep reinforcement learning algorithm was proposed … -UAV-assisted IoT networks: a
deep reinforcement learning … network: key enablers, open challenges, and future direction[J]. …

… institutions, to describe the research progress of machine learning and geological disaster
… of intelligent learning algorithms have emerged as the predominant research direction, …

… using the DDQN deep reinforcement learning algorithm. The … based on nine major motion
directions and formulates reward … design of neural network architecture, network training, and …

… directions for AI algorithms applied in the Internet of vehicles … in vehicular networks: a
proactive deep reinforcement learning … in MEC-and UAV-assisted vehicular networks[J]. IEEE …

… the recent literature using deep reinforcement learning to solve … of DRL-based to solve
VRP and future research directions. … 车辆路径问题(vehicle routing problem with drones,VRPD)[23],…