aerdem4/google-football
Solution to Kaggle's Google Research Football Competition
This project offers a collection of rule-based football agents designed to play simulated soccer matches. You input these agents into a Google Research Football environment, and they output simulated gameplay and match outcomes. It's intended for researchers or enthusiasts working with AI in sports simulations, particularly those developing or testing reinforcement learning agents.
No commits in the last 6 months.
Use this if you are developing or evaluating reinforcement learning agents for Google Research Football and need diverse, pre-built rule-based opponents or training environments.
Not ideal if you are looking for a general-purpose sports simulation engine or a tool for real-world football analytics.
Stars
14
Forks
—
Language
Python
License
MIT
Category
Last pushed
Dec 02, 2020
Commits (30d)
0
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