Perfecting Aircraft Maneuvers with Reinforcement Learning
Atahan Cilan, Mahir Demir, \"Ozg\"un Can Y\"ur\"utken, Seyyid Osman Sevgili, \"Umit Can Bekar

TL;DR
This paper explores using reinforcement learning to simulate aircraft maneuvers for pilot training, aiming to enhance AI-assisted training modules for specific aerobatic skills.
Contribution
It demonstrates the application of reinforcement learning agents to simulate aircraft maneuvers for pilot training purposes.
Findings
RL agents successfully simulated various aircraft maneuvers.
The approach shows potential for AI-assisted pilot training modules.
Simulations can serve as effective training tools for future pilots.
Abstract
This paper evaluates an advanced jet trainer's utilization of artificial intelligence (AI)-based aircraft aerobatic maneuvers with the intention of developing an AI-assisted pilot training module for specific aircraft maneuvers. A multitude of aircraft maneuvers have been simulated using reinforcement learning (RL) agents, which will serve as a training tool for future pilots.
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