TalkChess.com

[Daniel Shawul]

I don't know how this thread evolved into a series one, because I thought it was meant as a tounge-and-cheek comparison.
Are you really equating Romi's learning (so far as I know is just standard book learning) with what AlphaZero is doing ?

To be precise, AlphaZero uses a unique search (MCTS) which is very selective, it orders moves with a deep NN, and evaluates positions also with deep NN. This deep NN is a generic network that can be used in any kind of postion, not like some book learning stuff that avoids particular moves. So I don't see how this unique approach is same as Romi's

If you are talking about learning in general, yes it has been used in chess before AlphaZero, with the most prominent and general one being TD-lambda.

Daniel
_________________
https://sites.google.com/site/dshawul/
https://github.com/dshawul