Viewing a response to: @eniolw/re-nikolanikola-artificial-intelligence-for-dummies-it-s-all-in-the-game-part-4-20180919t171630279z
Hi @eniolw, thanks :)) The Monte Carlo can be extremely useful in cases when we don't have fully observable environment like when we play cards or when we have some stochastic process like throwing dice :) Minimax was just an example how this logic works, I personally don't know is it still used somewhere today:)
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It is! conventional chess engines use extensively MinMax as search algorithm, but in December of last year, Google proved with AlphaZero that Monte Carlo and reinforcement learning can achieve better results. That is why Leela Chess was born and currently she has caught top chess engines in playing strength.
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