Lucas Fidon edited subsection_MI_based_metric_for__.tex  almost 8 years ago

Commit id: 805e59cbba2529647519b4dc8e96f442d55ca012

deletions | additions      

       

\subsection{MI-based metric for trajectories}  According to the previous properties of mutual information we can now define a mutual information-based metric between two players'  trajectories as: \[d_{MI}(X,Y) = 1 - \frac{2MI(X,Y)}{S(X) + S(Y)} \]  Where $X$ and $Y$ are the positions of the two players.  Indeed it comes from the previous section that:  \begin{enumerate}  \item $d_{MI}$ is symmetric.  \item $d_{MI}(X,Y) = 0$ iff $X$ and $Y$ have the same probability law.  \end{enumerate}  \subsection{Empirical MI-based metric for trajectories}