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#344 – Noam Brown: AI vs Humans in Poker and Games of Strategic Negotiation
Lex Fridman Podcast
Machine Learning - What Advice Would You Give to Beginners?
I started out working on game theory and then shifted more towards reinforcement learning as time went on. That actually had a lot of benefits I think because it allowed me to look at these problems in a very different way from the way a lot of machine learning researchers view it. My own path in AI is pretty atypical for machine learning researcher today. There's definitely aspects of machine learning where I'm weaker than most of the researchers out there. But I think that diversity of perspective, when I'm working with my teammates, there's something that I'm bringing to the table and there's something they're Bringing to the table. It becomes very fruitful for that reason.
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