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It would be fascinating to apply this technique to card shuffling. Shuffling techniques are not even close to random...casinos hope for chaos at best. It woul
by downandout 9y ago
It would be fascinating to apply this technique to card shuffling. Shuffling techniques are not even close to random...casinos hope for chaos at best. It would be interesting to see if a machine learning algorithm could come up with an approach that could be carried out by humans to, for example, predict whether or not the next shoe of a hand-shuffled blackjack game is going to have a positive or negative expectation for the player.
- curuinor 9y agoYou can card count on apps already. The repeated linear operator + nonlinearity of the ESN (the reservoir) could implement a card-counting memory but, you know, so could a card counting memory in a normal program.
- downandout 9y agoOh I wasn't talking about card counting. I was talking about being able to determine, knowing the order of the cards going into the shuffle, whether or not the next shoe (after the shuffle) would have an overall positive or negative expectation. The theoretical expectation accounting for every single possible order of cards is slightly negative. However, if a massive percentage of the possible orders that the cards can be in is eliminated, the expectation may either be much more positive or negative than the overall theoretical return.