>Alpha Go (Zero) is very specialized for the game of go, not sure how much of its specialized algorithm could transfer to other generic use cases.
AlphaZero is a generalized successor, and it does just that:
AlphaZero is a generalized successor, and it does just that:
DL could potentially do a better job by recognizing patterns in the dataset that lead towards winning (making more money) that humans might miss. Like how AlphaZero can recognize moves in Go or Chess that humans don't understand are the best moves to make.
It's not obvious to me how this would be done, but I think it's plausible that some clever implementation could help.