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Gym environment for an ATC simulation

Project description

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 snake_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

Project details


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Files for atc-gym, version 0.1
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