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index 7f619f5..63c958f 100644
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@@ -77,20 +77,20 @@ owned by Google. It revolutionized the world of Go in 2015 and 2016 when it
respectively became the first AI to win against a professional Go player and
then won against Lee Sedol, a Korean player of the highest professional rank and
one of the strongest players in the world at the time. Its source code is
-closed, but a paper\cite{natureAlphaGo2016} written by the team and
+closed, but a paper \cite{natureAlphaGo2016} written by the team and
published on Nature is available on
https://storage.googleapis.com/deepmind-media/alphago/AlphaGoNaturePaper.pdf.
The unprecedented success of AlphaGo served as inspiration for many AI projects,
including this one.
-\paragraph{KataGo\cite{katago}}
+\paragraph{KataGo \cite{katago}}
An open source project based on the AlphaGo paper that also achieved superhuman
strength of play. The availability of its implementation and documentation
presents a great resource for this project.
-\paragraph{GnuGo\cite{gnugo}}
+\paragraph{GnuGo \cite{gnugo}}
A software capable of playing Go part of the GNU project. Although not a strong
engine anymore, it is interesting for historic reasons as the free software
@@ -98,7 +98,7 @@ engine for which the GTP protocol was first defined.
\subsubsection{Existing Standards}
-\paragraph{GTP\cite{gtp}}
+\paragraph{GTP \cite{gtp}}
GTP (\textit{Go Text Protocol}) is a text based protocol for
communication with computer Go programs. It is the protocol used by GNU Go and
@@ -106,7 +106,7 @@ the more modern and powerful KataGo. By supporting GTP the engine developed for
this project can be used with existing GUIs and other programs, making it easier
to use it with the tools users are already familiar with.
-\paragraph{SGF\cite{sgf}}
+\paragraph{SGF \cite{sgf}}
SGF (\textit{Smart Go Format} or, in a more general context, \textit{Smart Game
Format}) is a text format widely used for storing records of Go matches which
@@ -116,13 +116,13 @@ tools use it. By supporting SGF vast existing collections of games, such as
those played on online Go servers, can be used to train the decision algorithms
based on neural networks.
-\subsubsection{Sabaki\cite{sabaki}}
+\subsubsection{Sabaki \cite{sabaki}}
Sabaki is a Go board software compatible with GTP engines. It can serve as a GUI
for the engine developed in this project and as an example of the advantages of
following a standardized protocol.
-\subsubsection{Keras\cite{keras}}
+\subsubsection{Keras \cite{keras}}
Keras is a deep learning API for Python allowing for the high-level definition
of neural networks. This permits easily testing and comparing different network
@@ -134,7 +134,7 @@ layouts.
The resulting product of this project will be one or more pieces of software
able to be run locally on a personal computer. The programming language of
-choice is Python\cite{python}, for various reasons:
+choice is Python \cite{python}, for various reasons:
\begin{itemize}