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\begin{document}


\lyxnewslide{begining}

{\par\centering Inverse Reinforcement Learning\par}

{\par\centering Andrew Ng and Stuart Russell\par}

{\par\centering ICML 2000\par}


\lyxnewslide{Explanation}

Reinforcement Learning: Given reward structure and state mechanics, derive the
optimal policy.

Inverse Reinforcement Learning: Given state mechanics and optimal policy derive
reward structure.

When is IRL useful?


\lyxnewslide{Settings}

Details:

\begin{itemize}
\item Ambiguity in reward functions
\item Solution method: linear programming
\item Settings with tested algorithms

\begin{itemize}
\item Simple discrete state space with known mechanics and known policy
\item Simple continuous state space with known mechanics and known policy
\item Simple continuous state space with known mechanics and simulatable policy
\end{itemize}
\end{itemize}
\end{document}
