opium-sh/prl
Open-source library for a reinforcement learning research.
This framework helps machine learning researchers explore and develop new reinforcement learning algorithms. It provides a structured environment to define learning problems and test different approaches, outputting trained models and performance metrics. This is for AI researchers, academic scientists, or advanced machine learning practitioners working on cutting-edge algorithms.
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Use this if you are a researcher focused on developing and experimenting with novel reinforcement learning algorithms and need a flexible, research-oriented framework.
Not ideal if you are looking for a pre-built solution to apply existing reinforcement learning algorithms to a business problem or if you are new to machine learning.
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54
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5
Language
Python
License
MIT
Category
Last pushed
Dec 08, 2022
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