Tuomas Sandholm: Poker and Game Theory | Lex Fridman Podcast #12

54,206
11
Published 2018-12-28

All Comments (21)
  • @benedito496
    Big thanks to you, Lex, for bringing some of the smartest researchers and practitioners to the table and sharing these great interviews with the world.
  • @arsalan2780
    19 minutes of watching and this turn out to be most interested conversation i had listen so far.. he makes a point here.. other then deep reinforcement learning "to be precise learning only' there are non learning methods .. if we can somehow introduce learning in such methods then that will be something new
  • @antigonid
    Have a sit down with Andrew Ng, find out what he up to these days.
  • @squarehead6c1
    I share the opinion that applying game theoretical tools to computing applications is challenging. Some 15-20 years ago there was a game-theory hype and some interesting results appeared. Around that time, I was working on those kinds of models. In my experience, applying game theoretical solutions concepts necessitates some kind of overhead work. For instance, in my case I applied Nash bargaining theory for multi robot coordination. The robots had to formulate their private utility profiles at the coordination point, share the profiles, and calculate the full game equilibria (with the help of the other robot). Since the game in the general case had multiple equilibria, the initiating robot also shared a random number with the other robot and both used the number to choose the same joint solution, and then finally implement the individual part.
  • @Alp09111
    this was a great interview,enjoyed it!thanks
  • Lex's questions are great indeed, cool to see guests being excited like that
  • @binxuwang4960
    Comparing to the current interviews these early ones have something to be desired about audio stability, but it s already spectacular~
  • Why wasn't each poker pro given an HUD to real-time track Libratus' betting stats? This is something all online pros use (and such pros would never agree to play high stakes online without one). Libratus certainly had access to the equivalent of an HUD, right? I presume this created significant imbalance between Libratus and the humans.
  • @f23anone82
    Lex has such a great interviews with awesome people, but honestly, he sounds like he's super high
  • @tylergaye303
    Between this podcast and last weeks you are on fire my man. LSTMs and POMDPs are the future.
  • @amosjsoma
    I'd love to know more about this contest. For example, did the computer know after the fact how the player played certain hands? In a real heads up tournament you may never see what cards your opponent had. I suspect the computer was given certain information to help it establish trends and other information about how the players played. Top players are always mixing up their play to avoid having anyone get a take on how they react in certain situations. Bluffing plays an enormous role in poker and most of the the time if you bluff, your opponent will never know it and vice versa.
  • @johnwasa7030
    The discussion from 28:57 on reminds me of the three-body problem in physics.