Two-timescale learning using idiotypic behaviour mediation for a navigating mobile robot

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Two-timescale learning using idiotypic behaviour mediation for a navigating mobile robot

A combined short-term learning (STL) and long-term learning (LTL) approach to solving mobile-robot navigation problems is presented and tested in both the real and virtual domains. The LTL phase consists of rapid simulations that use a genetic algorithm to derive diverse sets of behaviours, encode...

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Bibliographic Details
Main Authors:	Whitbrook, Amanda, Aickelin, Uwe, Garibaldi, Jonathan M.
Format:	Article
Published:	Elsevier 2010
Online Access:	https://eprints.nottingham.ac.uk/1322/

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