151 citations · 542 across the 33 of their papers we have counts for
Showing 2017 · cs.LGShow all
3 papers · 2 filters
cs.LG2017★ 4 cited
Energy-efficient Amortized Inference with Cascaded Deep Classifiers
Jiaqi Guan, Yang Liu, Qiang Liu +1
Deep neural networks have been remarkable successful in various AI tasks but often cast high computation and energy cost for energy-constrained applications such as mobile sensing.…
cs.LG2017★ 7 cited
Stochastic Variance Reduction for Policy Gradient Estimation
Tianbing Xu, Qiang Liu, Jian Peng
Recent advances in policy gradient methods and deep learning have demonstrated their applicability for complex reinforcement learning problems. However, the variance of the perform…
cs.LG2017★ 74 cited
Stein Variational Policy Gradient
Yang Liu, Prajit Ramachandran, Qiang Liu +1
Policy gradient methods have been successfully applied to many complex reinforcement learning problems. However, policy gradient methods suffer from high variance, slow convergence…