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In this project, a learning agent successfully learned how to play blackjack and collect a payout much better than the average casino player. Blackjack is a card game where the goal is to obtain cards that sum to as near as possible to 21 without going over. They’re playing against a fixed dealer. Reinforcement Learning. Agenda. Online learning Reinforcement learning Model-free vs. model-based Passive vs. active learning Exploration-exploitation tradeoff. Incremental (“Online”) Function Learning.

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