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OpenAI's Universe utilises RL algorithms and I have heard of some game-training projects using Q learning, but are there any others which are used to master/win games? Can genetic algorithms be used to win at a game?

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As I see it, it all comes down to game theory, which can be said to form the foundation of successful decision making, and is particularly useful in a context, such as computing, where all parameters can be defined. (Where it runs into trouble is with the aggregate complexity of the parameters per the "combinatorial explosion", although Machine Learning has recently been validated as a method of managing intractability specifically in the context of games.)

You might want to check out Playing Games with Genetic Algorithms and Evolutionary game theory.

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  • $\begingroup$ The "Playing Games with Genetic Algorithms" shows access denied, is there any other link to it? $\endgroup$ – U754V Feb 13 '17 at 18:50
  • $\begingroup$ @U754V I've updated the link. Should be working now. If not, just google the title of the paper and you'll find it. $\endgroup$ – DukeZhou Feb 14 '17 at 19:38

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