reinforcement-learning-an-introduction-solutions and rlai-exercises
These are direct competitors—both are independent implementations of solutions to the same textbook exercises, serving the same purpose of helping learners work through Sutton & Barto's RL curriculum.
About reinforcement-learning-an-introduction-solutions
matteocasolari/reinforcement-learning-an-introduction-solutions
Implementations for solutions to programming exercises of Reinforcement Learning: An Introduction, Second Edition (Sutton & Barto)
About rlai-exercises
iamhectorotero/rlai-exercises
Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]
Implements solutions across foundational RL concepts including multi-armed bandits, Markov decision processes, dynamic programming, and temporal difference learning. Solutions combine mathematical derivations with Python implementations of core algorithms like Q-learning and policy gradient methods. Designed as a companion resource to validate understanding against the textbook's theoretical frameworks and exercises.
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