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Series
Join my journey through Sutton & Barto’s Reinforcement Learning textbook, distilling complex concepts (MDPs, value functions, Q-learning) into intuitive explanations for BSc CS learners.
Introduction Imagine teaching a computer to play chess from scratch. How would it learn which moves lead to checkmate and which lead to defeat? How would it understand the long-term consequences of capturing a pawn versus protecting its queen? This i...
A k-armed Bandit Problem Imagine you're at a casino, faced with a row of slot machines (one-armed bandits), each with its own hidden probability of paying out. Your goal is to maximize your winnings over the night, but you don't know which machines h...
Initial Concepts and Core Ideas
