… Internet of Drones (IoD) is one of the promising technologies to enhance the performance of
… that can be resolved using emerging deep reinforcement learning (DRL) techniques. In this …

… data, locations of drones and wireless channel conditions)… reinforcement learning method
to make decisions by interacting with the environment. Specifically, the reinforcement learning …

… via sharing the flight control decisions among the drones. In a large-scale IoD, … reinforcement
learning can be trained with the second-hand visiting experiences, where the drones learn …

… are a promising means to extend Internet of Things (IoT) networks … The current methodology
using reinforcement learning … in reinforcement learning, deep reinforcement learning can be …

… of drones make the problem of service scheduling challenging. In this paper, we propose a
reinforcement learning … of drones in the IoD. In RELESS, the interaction between the ZSP and …

… In this paper, we described the state of the art of one subset of these algorithms: the deep
reinforcement learning (DRL) techniques. We made a detailed description of them, and we …

… referred to as the cellular Internet of UAVs. However, due to … reinforcement learning suitable
for use in the cellular Internet … Then we apply reinforcement learning in the cellular Internet …

… vehicle (UAV)-assisted Internet of Things (IoT) system in a … -of-the-art deep reinforcement
learning approaches, we leverage the … continuous movement control of drone cells for energy…

… Abstract—Internet of drones (IoD), which deploys several drones in the air to collect ground
information and send them to the IoD gateway for further processing, can be applied in traffic …

… learning-based algorithm to accomplish strong drone connectivity with less handover cost
such that the drone will not … Xuet al., “A telecom perspective on the internet of drones: from LTE-…