The rise of poker AI has been a strange journey to say the least.
Earlier this month Libratus finished dismantling a human team of heads-up wizards including Jason Les, Dong Kim, Daniel McAulay and Jimmy Chou.
It was arguably the most dominant performance by an AI playing poker and a landmark achievement for non-human poker.
It’s also been a long time coming as software developers have been tinkering with poker software since the early days of computers.
Poker is a unique challenge for AI developers because it’s an incomplete information game compared to something more static like chess.
So why bother putting in all the work? Computer scientists believe that solving a game like poker could have real-world applications in areas like negotiation, healthcare and more.
We’re going to take look at the long, rather strange, development path that’s taken as all the way to Libratus below.
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