3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 3 cited
Bayesian Q-learning With Imperfect Expert Demonstrations
Fengdi Che, Xiru Zhu, Doina Precup +2
Guided exploration with expert demonstrations improves data efficiency for reinforcement learning, but current algorithms often overuse expert information. We propose a novel algor…
eess.IV2019★ 1 cited
Detecting GAN generated errors
Xiru Zhu, Fengdi Che, Tianzi Yang +3
Despite an impressive performance from the latest GAN for generating hyper-realistic images, GAN discriminators have difficulty evaluating the quality of an individual generated sa…