RLE-Foundation/rllte
Long-Term Evolution Project of Reinforcement Learning
This project helps machine learning engineers and researchers build and test advanced AI agents that learn by trial and error. You feed in a problem environment (like a game or simulation) and it outputs a trained AI agent capable of making optimal decisions within that environment. This is for AI developers, researchers, and engineers who work with reinforcement learning.
475 stars. No commits in the last 6 months.
Use this if you need a comprehensive toolkit and standardized components to develop, train, and evaluate reinforcement learning algorithms and agents efficiently.
Not ideal if you are a beginner looking for a simple, high-level tool to apply pre-trained AI models without understanding the underlying algorithms.
Stars
475
Forks
90
Language
Python
License
MIT
Category
Last pushed
Jul 22, 2025
Commits (30d)
0
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