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This is not true in the slightest. Poker is far, far more mathematical than chess. The idea that poker pros are only going off "reads" is completely ludicrous. They have a set game-theory-optimal style of playing, and then use an opponents flaws/"tells" to deviate from the GTO style to exploit those tells. An example of a flaw could be if the opponent is playing shitty hole cards. If the opponent has played in every…
The fancy deep learning poker bots that beat pros don’t even consider past opponent behavior.
During the competition, Libratus used 4 million core hours on the Bridges supercomputer for analyzing it's prior gameplay and changing strategy.
> During the tournament, Libratus was competing against the players during the days. Overnight it was perfecting its strategy on its own by analysing the prior gameplay and results of the day, particularly its losses. Therefore, it was able to continuously straighten out the imperfections that the human team had discovered in their extensive analysis, resulting in a permanent arms race between the humans and Libratus.