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Demystifying Reinforcement Learning: A Mathematical Odyssey

Demystifying Reinforcement Learning: A Mathematical Odyssey

Mar 21, 2025
GitHub

Demystifying Reinforcement Learning: A Mathematical Odyssey' offers a comprehensive yet accessible exploration of the mathematical foundations underpinning reinforcement learning, guiding readers through fundamental concepts, algorithms, and techniques spanning value iteration, policy iteration, Monte Carlo methods, temporal-difference learning, value function approximation, policy gradient methods, and actor-critic methods.

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