524 citations · 635 across the 13 of their papers we have counts for
3 papers · 1 filter
Jump-Start Reinforcement Learning
Ikechukwu Uchendu, Ted Xiao, Yao Lu +9
Reinforcement learning (RL) provides a theoretical framework for continuously improving an agent's behavior via trial and error. However, efficiently learning policies from scratch…
GRAC: Self-Guided and Self-Regularized Actor-Critic
Lin Shao, Yifan You, Mengyuan Yan +2
Deep reinforcement learning (DRL) algorithms have successfully been demonstrated on a range of challenging decision making and control tasks. One dominant component of recent deep…
Convolutional Imputation of Matrix Networks
Qingyun Sun, Mengyuan Yan David Donoho, Stephen Boyd
A matrix network is a family of matrices, with relatedness modeled by a weighted graph. We consider the task of completing a partially observed matrix network. We assume a novel sa…