我正在尝试编写算法,但它不起作用。
\usepackage[options ]{algorithm2e}
\usepackage{amsmath}
\usepackage{algorithm}
\usepackage[noend]{algpseudocode}
\begin{algorithm}
\SetAlgoLined
\caption{Log Linear Learning algorithm}\label{euclid}
\begin{algorithmic}[1]{
& initialization: $t=0,T$ and $action(0)=random \in A $ \;
\While{t\leq T}{
pick a random $player_i \in P$\;
fix other players $action_{-i}(t+1)=action_{-i}(t)$\;
calculate reward vector $R\in R^n$\;
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}
答案1
您必须正确使用algpseudocode
说明,不要忽视代码中出现的大量错误。
\documentclass{article}
\usepackage{amsmath,amssymb}
\usepackage{algorithm}
\usepackage[noend]{algpseudocode}
\begin{document}
\begin{algorithm}
%\SetAlgoLined
\caption{Log Linear Learning algorithm}\label{loglinear}
\begin{algorithmic}[1]
\State initialization: $t=0,T$ and $\mathit{action}(0)=\mathit{random} \in A$\;
\While{$t\leq T$}
\State pick a random $\mathit{player}_i \in P$\;
\State fix other players $\mathit{action}_{-i}(t+1)=\mathit{action}_{-i}(t)$\;
\State calculate reward vector $R\in \mathbb{R}^n$\;
\State calculate distribution vector $\alpha_j=1/z e^{r_j/\mathit{temp}}$\;
\State choose $\mathit{action}_i$ randomly using distribution vector $\alpha$\;
\State $t=t+1$\;
\EndWhile
\end{algorithmic}
\end{algorithm}
\end{document}