Perfecting Aircraft Maneuvers with Reinforcement Learning
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 4 of its 17 references that are in the map. First posted on arXiv 27 Apr 2026.
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4 of 17 references.
References · 4
- 2018Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actorcited by 4,635
- 2017A Brief Survey of Deep Reinforcement Learningcited by 466
- 2022A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combatcited by 10
- 2023An Integrated Imitation and Reinforcement Learning Methodology for Robust Agile Aircraft Control with Limited Pilot Demonstration Datacited by 1
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