Adversarial Learning

Expected flow networks in stochastic environments and two-player zero-sum games
We generalize GFlowNets to stochastic and adversarial environments, achieving near-perfect play in simple two-player games.
Marco Jiralerspong, Bilun Sun, Danilo Vucetic, Tianyu Zhang, Gauthier Gidel, Nikolay Malkin
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