> Do you have some links regarding this? I thought Poker is still one of the games where AIs don't play better than humans. OK, maybe it depends on the Poker va

> Do you have some links regarding this? I thought Poker is still one of the games where AIs don't play better than humans. OK, maybe it depends on the Poker variant. There are simpler and more difficult ones Texas Hold'em, one of the most popular variants - have a look at deep mind's Player Of Games, and the general technique of Counterfactual Regret Minimisation. Both are recent advances, but poker is absolutely solved at a human professional level now. I think one thing to keep in mind is that what you find illogical has very little bearing on whether a neural net can learn to do it. Us humans come prebaked with specific priors in our brain (like cognitive biases) that AIs don't necessarily share. I'd be careful making sweeping statements about what is impossible and what isn't, personally. But I guess we'll see =) > Sure. But how do you learn from a distribution where no matter what you do you will fail in, say, 99,9% of the cases? You can actually test this yourself if you're interested - try to train a neural net to predict outcomes that are deterministic but with a 99.9% chance of random failure. If the net learns to succeed 0.1% of the time then your premise is false - it has successfully extracted the signal!