google-research/football

Health v2 · maintenance only

Flags: archived

Adoption not part of the score

3661 stars · 1380 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Google Research Football is a reinforcement learning environment based on the open-source Gameplay Football game, created by the Google Brain team. It provides a football simulation where RL agents can be trained, runnable locally, via Docker, or in Colab.

Use cases

• train reinforcement learning agents to play football
• benchmark RL algorithms on a simulated sports environment
• run RL research experiments in a game environment
• participate in Kaggle football RL competitions
• learn RL by training agents in a game simulator

When to choose

• you need a rich, physics-based RL environment for research
• you want to train agents on a complex multi-agent game
• you want a quick-start RL environment via Colab or Docker

When to avoid

• you need a lightweight or fast-to-step RL environment
• you need a non-game or non-simulation domain
• you need commercial-grade game rendering or production gameplay

Facets

library · maturity maintenance

reinforcement-learning simulation game-engine reinforcement-learning machine-learning windows python rl-environment football-simulation google-brain gym-environment research-environment game-development research linux macos docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="google-research/football")