icml.bbl
\begin{thebibliography}{14}
\providecommand{\natexlab}[1]{#1}
\providecommand{\url}[1]{\texttt{#1}}
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  \providecommand{\doi}[1]{doi: #1}\else
  \providecommand{\doi}{doi: \begingroup \urlstyle{rm}\Url}\fi

\bibitem[Bitzer et~al.(2008)Bitzer, Havoutis, and Vijayakumar]{Bitzer2008}
Bitzer, S., Havoutis, I., and Vijayakumar, S.
\newblock Synthesising novel movements through latent space modulation of
  scalable control policies.
\newblock In \emph{Proceedings of the Tenth International Conference on
  Simulation of Adaptive Behavior: From Animals to Animats}, pp.\  199--209,
  2008.

\bibitem[Braun et~al.(2010)Braun, Waldert, Aertsen, Wolpert, and
  Mehring]{Braun2010}
Braun, D., Waldert, S., Aertsen, A., Wolpert, D., and Mehring, C.
\newblock Structure learning in a sensorimotor association task.
\newblock \emph{PLoS ONE}, 5\penalty0 (1):\penalty0 e8973, 2010.

\bibitem[Hausknecht \& Stone(2011)Hausknecht and Stone]{Hausknecht2011}
Hausknecht, M. and Stone, P.
\newblock Learning powerful kicks on the {Aibo ERS-7}: The quest for a striker.
\newblock In \emph{{R}obo{C}up-2010: Robot Soccer World Cup {XIV}}, volume 6556
  of \emph{Lecture Notes in Artificial Intelligence}, pp.\  254--65. Springer
  Verlag, 2011.

\bibitem[Kober \& Peters(2008)Kober and Peters]{Kober2008}
Kober, J. and Peters, J.
\newblock Policy search for motor primitives in robotics.
\newblock In \emph{Advances in Neural Information Processing Systems 21}, pp.\
  849--856, 2008.

\bibitem[Kober et~al.(2012)Kober, Wilhelm, Oztop, and
  Peters]{Kober2012NewSituationsJournal}
Kober, J., Wilhelm, A., Oztop, E., and Peters, J.
\newblock Reinforcement learning to adjust parametrized motor primitives to new
  situations.
\newblock \emph{Autonomous Robots}, 33\penalty0 (4):\penalty0 361--379, 2012.
\newblock ISSN 0929-5593.

\bibitem[Konidaris \& Barto(2007)Konidaris and Barto]{Konidaris2007}
Konidaris, G. and Barto, A.
\newblock Building portable options: Skill transfer in reinforcement learning.
\newblock In \emph{Proceedings of the Twentieth International Joint Conference
  on Artificial Intelligence}, pp.\  895--900, 2007.

\bibitem[Liu \& Stone(2006)Liu and Stone]{Liu2006}
Liu, Y. and Stone, P.
\newblock Value-function-based transfer for reinforcement learning using
  structure mapping.
\newblock In \emph{Proceedings to the Twenty-First National Conference on
  Artificial Intelligence}, pp.\  415--420, 2006.

\bibitem[Schaal et~al.(2004)Schaal, Peters, Nakanishi, and
  Ijspeert]{schaal2004}
Schaal, S., Peters, J., Nakanishi, J., and Ijspeert, A.
\newblock Learning movement primitives.
\newblock In \emph{Proceedings of the Eleventh International Symposium on
  Robotics Research}. Springer, 2004.

\bibitem[Soni \& Singh(2006)Soni and Singh]{Vishal2006}
Soni, V. and Singh, S.
\newblock Reinforcement learning of hierarchical skills on the {Sony Aibo}
  robot.
\newblock In \emph{Proceedings of the Fifth International Conference on
  Development and Learning}, 2006.

\bibitem[Sutton et~al.(1999)Sutton, Precup, and Singh]{Sutton1999}
Sutton, R., Precup, D., and Singh, S.
\newblock Between {MDP}s and semi-{MDP}s: A framework for temporal abstraction
  in reinforcement learning.
\newblock \emph{Artificial Intelligence}, 112:\penalty0 181--211, 1999.

\bibitem[Taylor \& Stone(2007)Taylor and Stone]{Taylor2007}
Taylor, M. and Stone, P.
\newblock Cross-domain transfer for reinforcement learning.
\newblock In \emph{Proceedings of the Twenty Fourth International Conference on
  Machine Learning}, 2007.

\bibitem[Tenenbaum et~al.(2000)Tenenbaum, de~Silva, and
  Langford]{Tenenbaum2000}
Tenenbaum, J., de~Silva, V., and Langford, J.
\newblock A global geometric framework for nonlinear dimensionality reduction.
\newblock \emph{Science}, 290\penalty0 (5500):\penalty0 2319--2323, 2000.

\bibitem[Tsochantaridis et~al.(2005)Tsochantaridis, Joachims, Hofmann, and
  Altun]{tsochantaridis2005}
Tsochantaridis, I., Joachims, T., Hofmann, T., and Altun, Y.
\newblock Large margin methods for structured and interdependent output
  variables.
\newblock \emph{Journal of Machine Learning Research}, 6\penalty0
  (Dec):\penalty0 1453--1484, 2005.

\bibitem[Vapnik(1995)]{Vapnik1995}
Vapnik, V.
\newblock \emph{The Nature of Statistical Learning Theory}.
\newblock Springer New York Inc., New York, NY, USA, 1995.
\newblock ISBN 0-387-94559-8.

\end{thebibliography}
