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And to add that, what if deepmind could get a poker history of the players at the table to create a poker profile of each player it is playing against. Having a
by porpoisely 8y ago
And to add that, what if deepmind could get a poker history of the players at the table to create a poker profile of each player it is playing against. Having a percentage of a player's likelihood of folding and bluffing could keep it an advantage over a purely objective game theory aspect of the game. Maybe a certain player is more likely to bluff 5 hours into a game based off of player history analysis. Going further, imagine if DeepMind could get access to every players history outside of poker ( social media, purchasing records, medical records, etc ) and create a behavioral profile of each player.
Game theory, poker profile, behavior profile, etc could give it a serious advantage over human players in addition to its advantage of never getting tired, frustrated, etc.
- b_tterc_p 8y agodeepmind is not necessary for that and also probably wouldn’t work. If you have player history you can construct perfect models for their playing habits and even update it as time goes on like a multi armed bandit problem. This can be simple probability heuristics and an optimization function. The problem with it is that the machine becomes biased to past results. Top human players are good because they adapt. I would put my money on the humans