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Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization
Online influence maximization aims to maximize the influence spread of a content in a social network with unknown network model by selecting a few seed nodes.
Model-based Reinforcement Learning
reinforcement-learning
+1
A Primer on Coordinate Descent Algorithms
This monograph presents a class of algorithms called coordinate descent algorithms for mathematicians, statisticians, and engineers outside the field of optimization.
