AgileRL/AgileRL
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
This is a reinforcement learning library that helps developers train AI models much faster. It takes your existing reinforcement learning problem setup and outputs an optimized, well-performing AI model. Developers and researchers working on building intelligent agents for tasks like robotics, game AI, or complex system control will find this useful.
896 stars. Actively maintained with 6 commits in the last 30 days.
Use this if you are a machine learning engineer or researcher looking to significantly cut down the time and computational resources spent on training reinforcement learning models and optimizing their hyperparameters.
Not ideal if you are new to reinforcement learning concepts or are looking for a high-level, no-code solution for deploying pre-trained AI models.
Stars
896
Forks
66
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 09, 2026
Commits (30d)
6
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