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.
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.