16 citations · 18 across the 4 of their papers we have counts for
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cs.LG2020
Amortized Variational Deep Q Network
Haotian Zhang, Yuhao Wang, Jianyong Sun +1
Efficient exploration is one of the most important issues in deep reinforcement learning. To address this issue, recent methods consider the value function parameters as random var…
cs.CV2020★ 16 cited
Learning in the Frequency Domain
Kai Xu, Minghai Qin, Fei Sun +3
Deep neural networks have achieved remarkable success in computer vision tasks. Existing neural networks mainly operate in the spatial domain with fixed input sizes. For practical…