Controlling Graph Dynamics with
Reinforcement Learning and Graph Neural Networks
Eli A. Meirom 1 Haggai Maron 1 Shie Mannor 1 Gal Chechik 1
Abstract
We consider the problem of controlling a partially-
observed dynamic process on a graph by a limited
number of interventions. This problem naturally
arises in contexts such as scheduling virus tests to
curb an epidemic; targeted marketing in order to
promote a product; and manually ins ...


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