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Fig. 5 | Applied Network Science

Fig. 5

From: Selective network discovery via deep reinforcement learning on embedded spaces

Fig. 5

NAC outperforms competitive online methods on real networks. For the Facebook networks (a, b), confidence bounds are estimated using 200 instantiations of the foreground network using 5 different parameter choices from TableĀ 2 and varying the location where in the Facebook network we plant the foreground instance. For the Livejournal network (c), we pick 200 hundred different nodes in the foreground network, where the agent can start the exploration.

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