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@InProceedings(AAAI04,
        author="Nate Kohl and Peter Stone",
        title="Machine Learning for Fast Quadrupedal Locomotion",
        year="2004",month="July",
        booktitle="The Nineteenth National Conference on Artificial Intelligence",
        pages="611--616",
        abstract={For a robot, the ability to get from one place to another is one of the most basic skills. However, locomotion on legged robots is a challenging multidimensional control problem. This paper presents a machine learning approach to legged locomotion, with all training done on the physical robots. The main contributions are a specification of our fully automated learning environment and a detailed empirical comparison of four different machine learning algorithms for learning quadrupedal locomotion. The resulting learned walk is considerably faster than all previously reported hand-coded walks for the same robot platform.},
        wwwnote={Some <a href="http://www.cs.utexas.edu/users/AustinVilla/legged/learned-walk/">videos of walking robots</a> referenced in the paper.<br>
                 <a href="http://www.aaai.org/Conferences/National/2004/aaai04.html">AAAI 2004</a>},
)