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- begin{algorithm}
- SetAlgoLined
- caption{Log Linear Learning algorithm}label{euclid}
- begin{algorithmic}[1]{
- & initialization: $t=0,T$ and $action(0)=random in A $ ;
- While{tleq T}{
- pick a random $player_i in P$;
- fix other players $action_{-i}(t+1)=action_{-i}(t)$;
- calculate reward vector $Rin R^n$;
- calculate distribution vector $alpha_j=1/z e^{r_j/temp}$;
- choose action_i randomly using distribution vector alpha;
- $t=t+1$;
- }
- }
- end{algorithmic}
- end{algorithm}
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