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#344 – Noam Brown: AI vs Humans in Poker and Games of Strategic Negotiation
Lex Fridman Podcast
How a computer program learns to play poker finding the Nash Equilibrium
The AI agent is able to reason counterfactually, and is able to accumulate regrets for different decisions it makes in a game./nIf you choose actions with higher regret with higher probability, the AI will eventually converge to an equilibrium.
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