118 citations · 120 across the 3 of their papers we have counts for
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cs.LG2021★ 2 cited
An Analysis of Reinforcement Learning in High Dimensions with Kernel and Neural Network Approximation
Jihao Long, Jiequn Han, Weinan E
Reinforcement learning (RL) algorithms based on high-dimensional function approximation have achieved tremendous empirical success in large-scale problems with an enormous number o…
cs.LG2016★ 118 cited
Deep Learning Approximation for Stochastic Control Problems
Jiequn Han, Weinan E
Many real world stochastic control problems suffer from the "curse of dimensionality". To overcome this difficulty, we develop a deep learning approach that directly solves high-di…