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Jun 20th, 2019
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  1. begin{algorithm}
  2. SetAlgoLined
  3. caption{Log Linear Learning algorithm}label{euclid}
  4. begin{algorithmic}[1]{
  5. & initialization: $t=0,T$ and $action(0)=random in A $ ;
  6. While{tleq T}{
  7. pick a random $player_i in P$;
  8. fix other players $action_{-i}(t+1)=action_{-i}(t)$;
  9. calculate reward vector $Rin R^n$;
  10. calculate distribution vector $alpha_j=1/z e^{r_j/temp}$;
  11. choose action_i randomly using distribution vector alpha;
  12. $t=t+1$;
  13. }
  14. }
  15. end{algorithmic}
  16. end{algorithm}
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