Unmanned Aerial Vehicles (UAVs) are increasingly being used in many challenging and
diversified applications. These applications belong to the civilian and the military fields. To …

Drones have recently become one of the most important technological breakthroughs. They
have opened the horizon for a vast array of applications and paved the way for a diversity of …

The key objective of unmanned aerial vehicle (UAV) path planning is to produce a flight path
that connects a start state and a goal state while meeting the required constraints …

Unmanned aerial vehicles (UAVs) are considered as one of the promising technologies for
the next-generation wireless communication networks. Their mobility and their ability to …

In this paper, we design a navigation policy for multiple unmanned aerial vehicles (UAVs)
where mobile base stations (BSs) are deployed to improve the data freshness and …

This paper investigates the control of a massive population of UAVs such as drones. The
straightforward method of control of UAVs by considering the interactions among them to …

Reinforcement learning (RL) enables agents to take decision based on a reward function.
However, in the process of learning, the choice of values for learning algorithm parameters …

The rising number of technological advanced devices making network coverage planning
very challenging tasks for network operators. The transmission quality between the …

Intelligent Systems are of many types. This work focuses mainly about the autonomous
drones and UAVs. Only for military objectives were Unmanned Aerial Vehicles (UAV) …

This paper proposes a distributed Multi-Agent Reinforcement Learning (MARL) algorithm for
a team of Unmanned Aerial Vehicles (UAVs). The proposed MARL algorithm allows UAVs to …