Table 1 Comparison of NAC features with related methods
From: Selective network discovery via deep reinforcement learning on embedded spaces
Method | State space | Action space | Observability | Learning goal | Learning framework | Policy training | State embedding |
|---|---|---|---|---|---|---|---|
NOL (LaRock et al. 2018) | Large | Dynamic | Partial | Vertex property | MDP | Online | No |
\(D^3TS\) (Murai et al. 2017) | Large | Dynamic | Partial | Vertex property | Supervised | Online | No |
GCPN (You et al. 2018) | Small | Fixed | Full | Graph property | MDP | Offline on given dataset | No |
NAC | Large | Dynamic | Partial | Vertex property | MDP | Offline and online on designed dataset | Yes |