Gym Retro
📰 OpenAI News
OpenAI releases Gym Retro, a platform for reinforcement learning research on over 1,000 games
Action Steps
- Explore the Gym Retro platform and its features
- Use the provided tool to add new games to the platform
- Train and test reinforcement learning models on the available games
- Analyze and compare results across different games and emulators
Who Needs to Know This
Researchers and engineers on AI teams can benefit from this platform to train and test reinforcement learning models, while data scientists can explore new possibilities for game-based research
Key Insight
💡 Gym Retro provides a large-scale platform for reinforcement learning research on a variety of games
Share This
🚀 Gym Retro released with 1,000+ games for reinforcement learning research!
Key Takeaways
OpenAI releases Gym Retro, a platform for reinforcement learning research on over 1,000 games
Full Article
We’re releasing the full version of Gym Retro, a platform for reinforcement learning research on games. This brings our publicly-released game count from around 70 Atari games and 30 Sega games to over 1,000 games across a variety of backing emulators. We’re also releasing the tool we use to add new games to the platform.
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