151 citations · 542 across the 33 of their papers we have counts for
Showing 2017 · stat.MLShow all
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stat.ML2017★ 11 cited
Policy Optimization by Genetic Distillation
Tanmay Gangwani, Jian Peng
Genetic algorithms have been widely used in many practical optimization problems. Inspired by natural selection, operators, including mutation, crossover and selection, provide eff…
stat.ML2017
Efficient Localized Inference for Large Graphical Models
Jinglin Chen, Jian Peng, Qiang Liu
We propose a new localized inference algorithm for answering marginalization queries in large graphical models with the correlation decay property. Given a query variable and a lar…
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…