Table 4 Notation of reinforcement learning with Markov decision process model
Symbol | Definition |
|---|---|
Indices and sets | |
\(\,i \in {\mathcal {I}}\) | Node |
\(\,k \in {\mathcal {K}}\) | Message |
Parameters | |
\(\,b_{ki}\) | The information preference of node i with respect to message k |
\(\,w_k\) | The influence weight of message k |
\(\,\rho _{ij}\) | The probability of arc connection from node i to node j |
Variable | |
\(\,\sigma _{ki}\) | The element of state matrix \(\varvec{s} \in S\) in row k and column i, that the activation status of node i by message k |
\(\,\alpha _{ki}\) | The element of action matrix \(\varvec{a} \in A\) in row k and column i, that the seed selection of node i by message k |