3274 search results - page 149 / 655 » Using Learning in a Control Agent |
PPSN
2004
Springer
14 years 1 months ago
2004
Springer
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
ATAL
2011
Springer
12 years 8 months ago
2011
Springer
Autonomy requires robustness. The use of unmanned (autonomous) vehicles is appealing for tasks which are dangerous or dull. However, increased reliance on autonomous robots increa...
AAAI
2007
13 years 10 months ago
2007
Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the ...
AAAI
2007
13 years 10 months ago
2007
reason with abstracted models of the behaviours they use to construct plans. When plans are turned into the instructions that drive an executive, the real behaviours interacting w...
CORR
2012
Springer
12 years 3 months ago
2012
Springer
In many situations, Miniature Aerial Vehicles (MAVs) are limited to using only on-board sensors for navigation. This limits the data available to algorithms used for stabilization...