Skip to main content
Ctrl K

bluesky_gym_population_density_extension

Data supporting the Master's thesis "Balancing Noise and Fuel: Spatially Aware Reinforcement Learning for Air Traffic Control"

1
contributor

Description

This dataset contains the trained policies as neural network weights and simulated trajectories as csvs, produced by a reinforcement learning agent that balances noise and fuel using population density observations processed by a CNN. It accompanies the Master's thesis "Balancing Noise and Fuel: Spatially Aware Reinforcement Learning for Air Traffic Control," and includes the source code (a fork of BlueSky-Gym).

Keywords
Programming languages
  • Other 99%
  • Python 1%
License
  • MIT
</>Source code
4TU.
Packages

Contributors

Member of community

4TU