Gym environment for an ATC simulation
- A program that helps minimize air crashes by using Machine Learning to control air traffic.
- A gym environment for ATC simulation
env.render()is not implemented, running it will raise
env.reset()opens the GUI.
env.fpscontains the fps to run the game at. You can set it using:
env.fps = 60
For the latest installation (may be unstable)
git clone https://github.com/vivek3141/atc-ai pip install -e .
Install stable release by
pip install snake_gym
Creating The Environment
The environment can be created by doing the following:
import gym import atc_gym env = gym.make("atc-v0")
atc-v0Returns a NxN RGB image in the form of a numpy array for the observations
atc-tiled-v0Returns a NxN matrix for the observations.
N is undecided until implementation
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