m-wojnar/reinforced-lib
Reinforcement learning library
This library helps machine learning engineers and researchers quickly develop and test reinforcement learning (RL) solutions. It takes raw data from an environment and outputs trained agents that can make decisions and learn through trial and error. This is for anyone building autonomous systems, optimizing processes, or exploring AI behavior.
Use this if you need to rapidly prototype and deploy reinforcement learning models, especially to resource-constrained devices or when high performance is critical.
Not ideal if you prefer a different deep learning framework or require extensive pre-built integrations for complex simulations outside of the JAX ecosystem.
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65
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4
Language
Python
License
CC-BY-4.0
Category
Last pushed
Oct 29, 2025
Commits (30d)
0
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