We have more theory for deterministic games. That doesn't mean that it is harder to solve them to a human level.
Computers got to being better than humans in both Go and poker in 2016. The difference is that https://www.deepstack.ai/ was solvable by academics with normal research grants. The training for the final version of AlphaGo is estimated at about $35 million. And who knows how many other versions were created?
Yes, actually solving Go and Civilization are both impossible. But I would be shocked if playing Civilization at a human level was too hard for us to solve with current machine learning techniques.
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We have more theory for deterministic games. That doesn't mean that it is harder to solve them to a human level.
Computers got to being better than humans in both Go and poker in 2016. The difference is that https://www.deepstack.ai/ was solvable by academics with normal research grants. The training for the final version of AlphaGo is estimated at about $35 million. And who knows how many other versions were created?
Yes, actually solving Go and Civilization are both impossible. But I would be shocked if playing Civilization at a human level was too hard for us to solve with current machine learning techniques.