29 citations · 175 across the 25 of their papers we have counts for
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stat.ML2017★ 17 cited
Action-depedent Control Variates for Policy Optimization via Stein's Identity
Hao Liu, Yihao Feng, Yi Mao +3
Policy gradient methods have achieved remarkable successes in solving challenging reinforcement learning problems. However, it still often suffers from the large variance issue on…
stat.ML2017★ 29 cited
Learning to Draw Samples with Amortized Stein Variational Gradient Descent
Yihao Feng, Dilin Wang, Qiang Liu
We propose a simple algorithm to train stochastic neural networks to draw samples from given target distributions for probabilistic inference. Our method is based on iteratively ad…