enlite-ai/maze
Maze Applied Reinforcement Learning Framework
This framework helps machine learning engineers and researchers design, train, and deploy reinforcement learning models for complex, real-world decision-making problems. It takes simulation data or existing environments as input and produces optimized AI agents capable of making intelligent decisions in scenarios like multi-step or multi-agent systems. It's intended for practitioners focused on applied reinforcement learning in industrial or research settings.
286 stars.
Use this if you need to build and train sophisticated reinforcement learning agents for complex, real-world simulations or environments, especially those involving multiple steps or agents.
Not ideal if you are just starting with basic reinforcement learning concepts or only need to apply pre-trained models without custom development.
Stars
286
Forks
12
Language
Python
License
—
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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