Abstract
We present a characterization of a useful class of skills based on a graphical representation of an agent's interaction with its environment. Our characterization uses betweenness, a measure of centrality on graphs. It may be used directly to form a set of skills suitable for a given environment. More importantly, it serves as a useful guide for developing online, incremental skill discovery algorithms that do not rely on knowing or representing the environment graph in its entirety.
Original language | English |
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Title of host publication | Advances in Neural Information Processing Systems 21 (NIPS 2008): Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8-11, 2008 |
Editors | Daphne Koller, Dale Schuurmans, Yoshua Bengio, Léon Bottou |
Publisher | Curran Associates, Inc. |
Pages | 1497-1504 |
Number of pages | 8 |
Publication status | Published - 2009 |