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20182025
most citedParametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space

151 citations · 217 across the 6 of their papers we have counts for

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2 papers · 1 filter

cs.LG2025

Enhancing DPSGD via Per-Sample Momentum and Low-Pass Filtering

Xincheng Xu, Thilina Ranbaduge, Qing Wang +2

Differentially Private Stochastic Gradient Descent (DPSGD) is widely used to train deep neural networks with formal privacy guarantees. However, the addition of differential privac…

cs.LG2025★ 10 cited

Divergence-Augmented Policy Optimization

Qing Wang, Yingru Li, Jiechao Xiong +1

In deep reinforcement learning, policy optimization methods need to deal with issues such as function approximation and the reuse of off-policy data. Standard policy gradient metho…