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Correcting discount-factor mismatch in on-policy policy gradient methods
The policy gradient theorem gives a convenient form of the policy gradient in terms of three factors: an action value, a gradient of the action likelihood, and a state distribution involving discounting called the \emph{discounted stationary distribution}.
Bayesian Q-learning With Imperfect Expert Demonstrations
Guided exploration with expert demonstrations improves data efficiency for reinforcement learning, but current algorithms often overuse expert information.
Detecting GAN generated errors
This is because the task of evaluating the quality of a generated image differs from deciding if an image is real or fake.
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