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We consider the game of Go from the point of view of machine learning and as a well-deened domain for learning on graph representations. We discuss the representation of both board positions and candidate moves and introduce the common fate graph (CFG) as an adequate representation of board positions for learning. Single candidate moves are represented as(More)
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