40 citations · 180 across the 31 of their papers we have counts for
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cs.LG2020★ 21 cited
Online Influence Maximization under Linear Threshold Model
Shuai Li, Fang Kong, Kejie Tang +2
Online influence maximization (OIM) is a popular problem in social networks to learn influence propagation model parameters and maximize the influence spread at the same time. Most…
stat.ML2020
The Gambler's Problem and Beyond
Baoxiang Wang, Shuai Li, Jiajin Li +1
We analyze the Gambler's problem, a simple reinforcement learning problem where the gambler has the chance to double or lose the bets until the target is reached. This is an early…