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Found 2 papers, 1 papers with code
Thompson Sampling for Gaussian Entropic Risk Bandits
The multi-armed bandit (MAB) problem is a ubiquitous decision-making problem that exemplifies exploration-exploitation tradeoff.
Refining Deep Generative Models via Discriminator Gradient Flow
We introduce Discriminator Gradient flow (DGflow), a new technique that improves generated samples via the gradient flow of entropy-regularized f-divergences between the real and the generated data distributions.
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