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\begin{document}
%\begin{onecolumn}

\newlength{\linelength}
\setlength{\linelength}{0.35\textwidth}

\newcounter{my-figures-ctr}

\pagenumbering{arabic}

\def\Proof {{\bf Proof: \enspace}}
\def\argmin {{\rm argmin}}
\def\argmax {{\rm argmax}}
\def\hb {\hfil\break}
\def\entropy {{\cal H}}
\def\implies {\Rightarrow}
%\def\ehat {\hat\epsilon}
\def\ehat {\hat\varepsilon}
\def\nhat {\hat{n}}
\def\ehatbar{\overline{\hat\varepsilon}}
\def\iid {{\it i.i.d.}}
\def\Pr {{\rm Pr}}
\def\E {{\rm E}}
\def\nopt {{n_{\it opt}}}
\def\nopthat {\widehat{n_{\it opt}}}
\def\testeq {\stackrel{?}{=}}
\def\hstar {h^{\ast}}
\def\kopt {{k_{\it opt}}}
\def\kopthat {\widehat{\kopt}}


\newtheorem{theorem}{Theorem}
\newtheorem{lemma}[theorem]{Lemma}
\newtheorem{corollary}[theorem]{Corollary}
\newtheorem{definition}{Definition}
\newtheorem{claim}[theorem]{Claim}
\newtheorem{conjecture}[theorem]{Conjecture}
\newtheorem{observation}{Interesting Observation}


\title{A new approach to Reinforcement Learning \\
		with Function Approximation  \\
	{\tenbf (DRAFT: Please do not distribute. In submission to ICML-97)} \\ 
	}


\author{
Andrew Y. Ng \\
\makebox[\linelength]{Carnegie Mellon University}\\
\makebox[\linelength]{Pittsburgh, Pennsylvania} \\
\makebox[\linelength]{Andrew.Ng@cs.cmu.edu} \\
}

%\date{\today}
%\date{January 20, 1997}

\maketitle
\thispagestyle{empty}

\center{\large {1000 Morewood Ave \\
	Pittsburgh PA 15213 \\ 
	(412)268-8175 }}

\bigskip
\medskip
\center{Keywords: Reinforcement learning, function approximation}

\def\vstar {V^{\ast}}


\end{document}