matteocasolari/reinforcement-learning-an-introduction-solutions
Implementations for solutions to programming exercises of Reinforcement Learning: An Introduction, Second Edition (Sutton & Barto)
This project provides executable code solutions for the programming exercises found in the textbook "Reinforcement Learning: An Introduction, Second Edition" by Sutton & Barto. It takes theoretical problem descriptions from the textbook as input and produces working code implementations with corresponding result visualizations. This resource is ideal for students, researchers, or practitioners learning about reinforcement learning algorithms.
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Use this if you are studying Sutton & Barto's 'Reinforcement Learning: An Introduction' and want to see practical, verified code solutions for its programming exercises.
Not ideal if you are looking for a general-purpose reinforcement learning library or a tool to apply RL to your own custom datasets and problems.
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Python
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MIT
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Jun 23, 2022
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