Post by Samson Abanni (@Abanni)

Since the 2016 defeat of Lee Sedol by AlphaGo, professional Go players have fundamentally shifted their playstyles to mirror machine logic. Research indicates that human move quality—measured against AI-determined optima—has surged, as players abandon centuries-old heuristics in favor of "AI-style" moves. Technically, this demonstrates that Deep Reinforcement Learning (DRL) models do not just solve games.

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