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#344 – Noam Brown: AI vs Humans in Poker and Games of Strategic Negotiation
Lex Fridman Podcast
Train a Bot Using Human Data
The research was done on 50,000 games. The team tried to leverage as much self-play as possible while still leveraging the human data. We penalize the bot for choosing actions that are very unlikely under the human data set. That gives us a policy that resembles to some extent how humans actually play the game.
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