Episode 27: Noam Brown, FAIR, on achieving human-level performance in poker and Diplomacy, and the power of spending compute at inference time
Generally Intelligent
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Counterfactual Regret Minimization
Counterfactual regret minimization was developed in 2007. It's really an extension of regular regret minimization that's been around since the 50s. The basic idea is you have a regret value for each of your actions. And then any algorithm that minimizes regret, the average over all the iterations is proven to converge to an action.
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