

Noam Brown: from Open AI on solving Poker and Diplomacy with AI
41 snips Jun 28, 2023
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Why Poker Is Harder Than Chess
- Poker's difficulty lies in imperfect information and the need for mixed strategies.
- Unlike chess, poker strategies must be probabilistic to avoid exploitation.
Nash Equilibrium in Poker AI
- To solve poker, one must approximate Nash equilibrium strategies using regret minimization.
- These approaches ensure no long-term loss, as seen in games like rock-paper-scissors.
The Power of Search in Poker AI
- Search (planning) at test time is critical for superhuman performance in games.
- In poker, adding search on the final round boosts performance equivalently to 100,000x training scale.