Research team

Airline crew scheduling with multi-agent reinforcement learning 01/10/2025 - 30/09/2029

Abstract

The goal of this project is to accelerate and make the personnel planning process in the aviation sector more cost-efficient by, on the one hand, improving existing planning algorithms with ML methods, and on the other hand, developing a fully autonomous RL-driven planning solution using Reinforcement Learning (RL) and Multi-Agent Reinforcement Learning (MARL), leveraging the latest advancements in neural architectures.

Researcher(s)

Research team(s)

Project type(s)

  • Research Project