google-research/football
A reinforcement learning environment simulating football games for training autonomous game-playing agents.
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Google Research Football provides an open-source RL benchmark environment based on the Gameplay Football simulator. Researchers can train agents using popular RL algorithms to play the game, with support for custom scenarios, multi-agent gameplay, and diverse observation formats. The repository includes pre-built environments, training examples, and is widely used for RL research and competitions including a Kaggle competition.
Frequently asked
- What is google-research/football?
- A reinforcement learning environment simulating football games for training autonomous game-playing agents.
- Is football open source?
- Yes — google-research/football is open source, released under the Apache-2.0 license.
- What language is football written in?
- google-research/football is primarily written in Python.
- How popular is football?
- google-research/football has 3.6k stars on GitHub.
- Where can I find football?
- google-research/football is on GitHub at https://github.com/google-research/football.