467 search results - page 81 / 94 » Learning of Agents with Limited Resources |
IAT
2009
IEEE
14 years 2 months ago
2009
IEEE
In building practical sensor networks, it is often beneficial to use only a subset of sensors to take measurements because of computational, communication, and power limitations....
ENVSOFT
2007
13 years 7 months ago
2007
A multi-agent model of social and environmental complexity of deforestation was developed for the Caparo Forest Reserve, Venezuela. It includes three types of agents: settlers, go...
SOFSEM
2010
Springer
14 years 4 months ago
2010
Springer
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
ICRA
2008
IEEE
14 years 2 months ago
2008
IEEE
— Selective data return leverages onboard data analysis to allocate limited bandwidth resources during remote exploration. Here we present an adaptive method to subsample image s...
INFOCOM
2007
IEEE
14 years 2 months ago
2007
IEEE
—Unstructured networks (like ad-hoc or peer-to-peer networks) are networks without centralized control of their operation. Users make local decisions regarding whether to follow ...