The history of AI learning to play board games is a fascinating one, and poker is another excellent example.

It's easy to think that poker is a simple game, but it's actually incredibly complex. There are a few possible actions, but you don't know what everyone else has in their hand. So you can't just use algorithms for chess or checkers—you need something new!

In this video, Julian Togelius, Associate Professor of Computer Science and Engineering at New York University, and Vanessa Volz, AI Research at modl.ai, talk about how we got here and what we can expect next.

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