10 citations · 19 across the 10 of their papers we have counts for
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cs.LG2021★ 1 cited
Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction
Jiachen Li, Shuo Cheng, Zhenyu Liao +3
Improving the sample efficiency of reinforcement learning algorithms requires effective exploration. Following the principle of (OFU)…
cs.LG2020★ 10 cited
Understanding Why Neural Networks Generalize Well Through GSNR of Parameters
Jinlong Liu, Guoqing Jiang, Yunzhi Bai +2
As deep neural networks (DNNs) achieve tremendous success across many application domains, researchers tried to explore in many aspects on why they generalize well. In this paper,…