A simplified alternative to complex ML libraries like Ray or Stable Baselines. It implements core Reinforcement Learning algorithms in pure Python to facilitate understanding of agent-environment interactions.
Tech Stack
PythonAI, ML & Data
Why toyrl?
• Transparent algorithm logic
• Low dependency overhead
• Easy to modify
Limitations
• Not optimized for large models
• Limited environment support
• Lack of GPU acceleration
11/24/2025
Last Update
2
Forks
2
Issues
Apache-2.0
License
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