187 citations · 345 across the 14 of their papers we have counts for
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cs.LG2022★ 1 cited
Reward Imputation with Sketching for Contextual Batched Bandits
Xiao Zhang, Ninglu Shao, Zihua Si +4
Contextual batched bandit (CBB) is a setting where a batch of rewards is observed from the environment at the end of each episode, but the rewards of the non-executed actions are u…
cs.LG2020★ 4 cited
Variance Reduction for Deep Q-Learning using Stochastic Recursive Gradient
Haonan Jia, Xiao Zhang, Jun Xu +4
Deep Q-learning algorithms often suffer from poor gradient estimations with an excessive variance, resulting in unstable training and poor sampling efficiency. Stochastic variance-…