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Reinforcement Learning (Sutton & Barto)

June 8, 2026

-core textbook notes on reinforcement learning fundamentals, from Markov decision processes through temporal-difference learning
-imported from Notion and organized into chapter pages

Chapters

1.Chapter 1: Introduction
2.Chapter 2: Multi-armed Bandits
3.Chapter 3: Finite Markov Decision Processes (MDPs)
4.Chapter 4: Dynamic Programming
5.Chapter 5: Monte Carlo Methods
6.Chapter 6: Temporal Difference Learning