… In this paper, we invoke deep reinforcement learning for routing in AANETs aiming at …
To boost the learning efficiency and the online adaptability of the proposed DQN-routing, …

… If the passengers whose itinerary originates from Detroit form the highest class, those flying …
of passengers in the plane. See also Fig. I, which shows how the class of the passenger can …

… 4 passengers per day was used; the plane was assumed to have a total capacity of 100
seats. The Poisson process for each fare class will hence be an independent process, whose …

… the SARSA reinforcement learning algorithm to manipulate the trajectories of the planes to
… Initially, it was used for military aircraft, but with the advent of passenger and cargo planes, …

… However, unlike domestic passengers, international travelers must go through customs and
… two types of planes, airports must use a specific bridge to segregate the passenger flow line, …

… the lowest fare class of passengers in the plane. See also figure 2, which explains this idea.
A circle in figure 2 represents the origin and the symbol inside it indicates the class of the …

… Due to the rapid development of China's aviation industry, the need for both passenger … ,
and gave the calculation results of 20 planes. Milan introduces the concept of priority queues to …

… [39 – 42], most of the existing online learning hyperheuristics are reinforcement learning (RL)
mechanisms that use reward and punishment schemes [43] in the hyperheuristic …

… Reinforcement learning (RL) techniques have been studied … general multi-agent reinforcement
learning approach for real-… 2D planes instead of the more complex 3D planes. These 2D …

… An offlinetrained cascaded Soft Actor-Critic Deep Reinforcement Learning controller is …
This section introduces the learning framework used in this research, actor-critic RL and the …