Will Grathwohl

RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Baseline repo.

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Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"

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Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"

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Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"

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