Perfecting Aircraft Maneuvers with Reinforcement Learning
For pilot training, this work offers a potential AI-based simulation tool, but it is incremental as it applies existing RL methods to a new domain without quantitative benchmarks.
This paper uses reinforcement learning to simulate aircraft aerobatic maneuvers for developing an AI-assisted pilot training module. The approach successfully generates a variety of maneuvers, but no concrete performance numbers are provided.
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.