\section{/var/www/mlpack.ratml.\+org/mlpack.org/\+\_\+src/mlpack-\/git/src/mlpack/methods/reinforcement\+\_\+learning/sac.hpp File Reference}
\label{sac_8hpp}\index{/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/git/src/mlpack/methods/reinforcement\+\_\+learning/sac.\+hpp@{/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/git/src/mlpack/methods/reinforcement\+\_\+learning/sac.\+hpp}}
Include dependency graph for sac.\+hpp\+:
\nopagebreak
\begin{figure}[H]
\begin{center}
\leavevmode
\includegraphics[width=350pt]{sac_8hpp__incl}
\end{center}
\end{figure}
\subsection*{Classes}
\begin{DoxyCompactItemize}
\item 
class \textbf{ S\+A\+C$<$ Environment\+Type, Q\+Network\+Type, Policy\+Network\+Type, Updater\+Type, Replay\+Type $>$}
\begin{DoxyCompactList}\small\item\em Implementation of Soft Actor-\/\+Critic, a model-\/free off-\/policy actor-\/critic based deep reinforcement learning algorithm. \end{DoxyCompactList}\end{DoxyCompactItemize}
\subsection*{Namespaces}
\begin{DoxyCompactItemize}
\item 
 \textbf{ mlpack}
\begin{DoxyCompactList}\small\item\em Linear algebra utility functions, generally performed on matrices or vectors. \end{DoxyCompactList}\item 
 \textbf{ mlpack\+::rl}
\end{DoxyCompactItemize}


\subsection{Detailed Description}
\begin{DoxyAuthor}{Author}
Nishant Kumar
\end{DoxyAuthor}
This file is the definition of S\+AC class, which implements the Soft Actor-\/\+Critic algorithm.

mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-\/clause B\+SD license. You should have received a copy of the 3-\/clause B\+SD license along with mlpack. If not, see {\tt http\+://www.\+opensource.\+org/licenses/\+B\+S\+D-\/3-\/\+Clause} for more information. 