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Double Neural Counterfactual Regret Minimization
We propose a double neural representation for the imperfect information games, where one neural network represents the cumulative regret, and the other represents the average strategy. Expand
AGL: A Scalable System for Industrial-purpose Graph Machine Learning
We design AGL, a scalable, fault-tolerance and integrated system, with fully-functional training and inference for GNNs. Expand