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The Sequence Scope: A Massive Leap in ML for Gaming
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📝 Editorial: A Massive Leap in ML for Gaming
Gaming has been at the center of the ML renaissance for the last few years. In many ways, the deep learning race was kicked off by AlphaGo performance again Go’s legend Le Sedol. However, most of the advancements in ML for gaming have been specialized in either perfect or imperfect information games but never both at the same time. Models that mastered chess and Go struggle with imperfect games such as Poker. Even models such as AlphaZero who learned to play multiple games at the same time was constrained to perfect information environments. The reason for this is obviously based in the intrinsic dynamics of both types of game environments. Perfect information games such as Chess and Poker are a good fit for ML techniques like…
