Quote:
Originally Posted by zoogenhiem
Generally the top AI's "retire" once they achieve their task. More accurately they are then moved into real practice. For instance, IBM Watson hasn't played Jeopardy since it's big win but has been doing real work in medical records for instance. My understanding is that AlphaZero and AlphaGo are now retired from their competitive careers and are back to being secret, proprietary working programs.
There's nothing really in it for Google to play poker. It's a big deal to be the first program to beat a human in a given activity (see Watson, AlphaGo, Deep Blue, Libratus), not so big a deal to be second or tenth. It's surprising actually then how much press AlphaZero got, although AlphaGo got way more.
Interesting. Thank you. I am sure you already know everything I am saying below, this is just my discussion of the matter:
My interest in the AlphaZero algorithm is that it specifically beat its own predecessor, AlphaGo *because* it was not specifically trained to play the game of Go. It is only given the rules of the game, and learns the game from scratch.
This leads Deepmind AlphaZero to play games such as chess and go in a way that is more familiar to humans, but at a super-human level, that is best described as a highly evolved alien being might play.
So, DMAZ is not simply crunching numbers to evaluate a position. It has a PLAN for every position.
How well would this translate to poker?
That is debatable, since poker *strategy* may in fact be more about raw evaluation of odds, and merely limited by the ability of the human or computer to efficiently evaluate the portion of gametree for expectation.
So, for me to say that the DMAZ will beat Libratus for a meaningful margin, is to say that DMAZ will actually be playing poker, with a plan for every combo, right from the start. This will find weaknesses in the ability of Libratus to survey the tree, with powerful CFR. Further, the weaknesses will be numerous, yet tiny, and beyond the precision of Libratus to detect and correct.