atc-gym 0.2

Gym environment for an ATC simulation

ATC AI

Contains

• A program that helps minimize air crashes by using Machine Learning to control air traffic.
• A gym environment for ATC simulation

Implementing

• env.render() is not implemented, running it will raise NotImplementedError.
• env.reset() opens the GUI.
• env.fps contains the fps to run the game at. You can set it using:

  env.fps = 60
  

Installation

For the latest installation (may be unstable)

git clone https://github.com/vivek3141/atc-ai
pip install -e .

Install stable release by

pip install atc-gym

Creating The Environment

The environment can be created by doing the following:

import gym
import atc_gym
env = gym.make("atc-v0")

Environments

• atc-v0 Returns a NxN RGB image in the form of a numpy array for the observations
• atc-tiled-v0 Returns a NxN matrix for the observations.

N is undecided until implementation