Why Artificial Intelligence robot Libratus spells doom for poker players

If you’re looking for proof of how Artificial Intelligence and Machine Learning technologies are seriously challenging…

And worryingly for humans(!)…

Even now surpassing human intelligence, guile and ingenuity then look no further than Libratus.

Built by computer science experts at Carnegie Mellon university, Libratus made poker history in January 2017 by taking on world class professionals at No Limit Texas Hold’Em and beating them over 20 straight days.

This Man vs Machine battle has been done many times before going back to when chess grandmaster Gary Kasparov played IBMs Deep Blue in 1996.

But this Libratus experiment was different.

Why?

Because Libratus used something called ‘reinforcement learning’ – basically, learning from scratch and then using trial-and-error to get better and better.

In fact, Libratus learnt and improved before, during and after each day’s play. It literally had an unfair advantage over the four players it challenged.

And what’s more…

And this is the really scary bit…

It knew how to bluff and when its opponents were bluffing!

As Wired said in their article of February 1st…

“It’s a powerful and rather unsettling proposition – a machine than can out-bluff a human”.

I dread to think what’s next for Artificial Intelligence and Machine Learning!

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