# Augmenting Flight Training with AI to Efficiently Train Pilots

arXiv: https://arxiv.org/abs/2210.06683 · HTML: https://mlsanity.com/paper/2210.06683/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 13 references that are in the map.
- First posted on arXiv 13 Oct 2022.

## Builds on (most cited first, 2 of 2)

- [Deep reinforcement learning from human preferences](https://mlsanity.com/paper/1706.03741/) (2017)
- [A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review](https://mlsanity.com/paper/2007.01544/) (2020)

## Abstract (arXiv)

We propose an AI-based pilot trainer to help students learn how to fly aircraft. First, an AI agent uses behavioral cloning to learn flying maneuvers from qualified flight instructors. Later, the system uses the agent's decisions to detect errors made by students and provide feedback to help students correct their errors. This paper presents an instantiation of the pilot trainer. We focus on teaching straight and level flying maneuvers by automatically providing formative feedback to the human student.