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AI Poker Tutorial
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1. Background
1.1: Poker Background
1.2: History of Solving Poker
2. Game Theory
2.1: Game Theory Foundation
2.2: Trees in Games
3. Solving Poker
3.1: What is Solving?
3.2: Toy Poker Games
3.3: Using Solvers
4. Counterfactual Regret Minimization (CFR)
4.1: The CFR Algorithm
4.2: Game Abstractions
4.3: Agent Evaluation
4.4: CFR Advances
5. Top Poker Agents
5.1: Top Agents and Research
5.2: AI vs. Human Competitions
6. Other Topics
6.1: Multiplayer Poker Games
6.2: Opponent Exploitation
6.3: Interpreting Agent Decisions
AIPT Section 1.1: Background – Poker Background
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