mimoralea/applied-reinforcement-learning
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
This resource helps aspiring data scientists and AI practitioners learn reinforcement learning and decision-making concepts. It provides intuitive explanations and hands-on Jupyter Notebooks, allowing users to grasp how intelligent agents can make optimal choices in complex environments. You'll gain practical understanding of sequential decision-making, from simple to more advanced scenarios.
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Use this if you are a data scientist, AI enthusiast, or student looking for a clear, practical, and intuitive introduction to reinforcement learning concepts.
Not ideal if you are an experienced reinforcement learning researcher seeking advanced, cutting-edge algorithm implementations or a highly theoretical academic text.
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Jupyter Notebook
License
MIT
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Last pushed
Nov 18, 2020
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