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...
| Main Authors: | , , |
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| Format: | Article |
| Published: |
Elsevier
2010
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| Online Access: | https://eprints.nottingham.ac.uk/1322/ |