54 citations · 191 across the 18 of their papers we have counts for
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cs.LG2022★ 3 cited
Efficient-Adam: Communication-Efficient Distributed Adam
Congliang Chen, Li Shen, Wei Liu +1
Distributed adaptive stochastic gradient methods have been widely used for large-scale nonconvex optimization, such as training deep learning models. However, their communication c…
cs.LG2022★ 16 cited
Constrained Variational Policy Optimization for Safe Reinforcement Learning
Zuxin Liu, Zhepeng Cen, Vladislav Isenbaev +4
Safe reinforcement learning (RL) aims to learn policies that satisfy certain constraints before deploying them to safety-critical applications. Previous primal-dual style approache…