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Flytosky

Convertible environment for reinforcement learning with Kerbal Space Program

Install / Use

/learn @under-control/Flytosky
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Kerbal Space Program - complex environment for Reinforcement Learning

Below you can find medium article with whole story and short tutorial how to start.

https://medium.com/@whiteastercom/kerbal-space-program-complex-environment-for-reinforcement-learning

Files description:

log - tensorflow session with results csv

a3c_continous.py - a3c network with workers

config.py - setting parameters and connections

ksp_env.py - game environment

requirements.txt - Python 3.6

results_plotter.py - plotter updated continuously

tracker.py - shows the data in console and inside the game

Piotr Kubica - Machine Learning Engineer at Whiteaster

View on GitHub
GitHub Stars10
CategoryEducation
Updated4mo ago
Forks2

Languages

Python

Security Score

72/100

Audited on Nov 28, 2025

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