Google Research Football is a reinforcement learning environment simulating soccer matches. It focuses on learning complex behaviors such as team collaboration and strategy formation in competitive settings.

Features

  • Simulates realistic football (soccer) games for RL
  • Provides multi-agent competitive and cooperative settings
  • Includes physics-based ball and player dynamics
  • Supports a variety of scenarios from basic skills to full matches
  • Compatible with Gym and RL libraries
  • Includes visualizations and replays for model analysis

Project Samples

Google Research Football Screenshot 1

Project Activity

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Categories

Reinforcement Learning Frameworks

License

Apache License V2.0

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Google Research Football Web Site

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Additional Project Details

Programming Language

Python

Related Categories

Python Reinforcement Learning Frameworks

Registered

2025-03-13
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