Facebook’s new poker bot, Pluribus, recently outwitted a dozen top poker professionals at six-player, no-limit Texas Hold ’em over a 12-day marathon of 10,000 poker hands. The A.I. bot is created by Noam Brown and Tuomas Sandholm.

1. PLURIBUS
A new POKER BOT by

2. Poker relies heavily on bluff, if not completely.
Bluffing can be done in various ways.
You can smirk, grimace, frown, or smile,
and not mean it at all.

3. Humans can detect all
these Poker Tells.
But can bots do that?
Yes,
yes we can.

4. A new research revealed that
Artificial Intelligence can learn to respond to fibs without
looking at anyone at the table, and outwit the best human poker
players.
It’s a development that may have implications far
beyond the casino.

5. A poker-playing bot called PLURIBUS
recently defeated a top poker professionals
at six-player, no-limit Texas Hold ’em over a
12-day marathon of 10,000 poker hands.

6. The A.I. bot was created by Noam Brown
who now works at ,
and Tuomas Sandholm who is a professor at
in Pittsburgh.

7. “If each chip in the
experiment were worth a
dollar, Pluribus would have
made $1,000 an hour
against the pros.”

8. A.I. can already calculate probability far
better and quicker than any human being.

9. But poker is as much about coping with how
humans lie as it is about reading the cards, which is
exactly why it’s a useful game for A.I. to learn.

10. “People have this notion that bluffing is this very human thing
where you’re looking at the other person and the other person’s
eyes, and trying to read their soul, and trying to tell if they’re going
to fold or if they’re bluffing right now.” - Brown.

11. According to him, bluffing is a mathematical thing
which is all about balancing betting with good hands
with betting with bad hands, so that you’re
unpredictable to your opponents.

12. Pluribus was trained just like other game-
playing bots.
It played against itself millions of times, making
moves completely randomly at first, until it
slowly figured out which moves would result in
positive outcomes.

13. Lie detecting A.I. is useful well
beyond the poker table because
people in the real world can and do
lie, just like they do at cards. They
can behave irrationally. They can
make mistakes.

14. “If you’re deploying an A.I. system
in the real world, it’s interacting with
other A.I.s or humans. There might be
situations where [another] A.I. might
be trying to behave in a deceptive
way or dishonest way.
And the A.I. has to be able to cope
with that if it’s going to be effective.”
- Noam Brown

15. With this tool tested to the limits in
poker, Brown will now move on to
other problems that can be solved by
game theory-inspired algorithms.
“I think this is really the final major
challenge in poker A.I.” he said. “We
don’t plan to work on poker going
forward. I think we’re really focused on
generalizing beyond.”

16. Want to know more
about
Pluribus
and its
functionalities?
Head here!

17. Mail us at: sales@algoworks.com
Visit us: https://www.algoworks.com/