Distributional reinforcement learning with linear function approximation

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A distributional perspective on reinforcement learning

Bellemare, Marc G., Dabney, Will, and Munos, Rémi

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The Cramér distance as a solution to biased Wasserstein gradients

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Implicit quantile networks for distributional reinforcement learning

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Distributional reinforcement learning with quantile regression

Dabney, Will, Rowland, Mark, Bellemare, Marc G., and Munos, Rémi

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Distributional policy gradients

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An analysis of categorical distributional reinforcement learning

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