20 citations · 20 across the 2 of their papers we have counts for
3 papers
cs.LG2022
A Convergence Theory for Federated Average: Beyond Smoothness
Xiaoxiao Li, Zhao Song, Runzhou Tao +1
Federated learning enables a large amount of edge computing devices to learn a model without data sharing jointly. As a leading algorithm in this setting, Federated Average FedAvg,…
cs.LG2019★ 20 cited
Efficient Model-free Reinforcement Learning in Metric Spaces
Zhao Song, Wen Sun
Model-free Reinforcement Learning (RL) algorithms such as Q-learning [Watkins, Dayan 92] have been widely used in practice and can achieve human level performance in applications s…
cs.LG2018
Revisiting the Softmax Bellman Operator: New Benefits and New Perspective
Zhao Song, Ronald E. Parr, Lawrence Carin
The impact of softmax on the value function itself in reinforcement learning (RL) is often viewed as problematic because it leads to sub-optimal value (or Q) functions and interfer…