204 search results - page 27 / 41 » Learning locally minimax optimal Bayesian networks |
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ATAL
2005
Springer
15 years 3 months ago
2005
Springer
In complex multi-agent fusion systems resource conflicts are very likely to occur. We propose an algorithm that determines the optimal sensing resource to fusion task assignment,...
UAI
2004
14 years 10 months ago
2004
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
ICMLA
2010
14 years 7 months ago
2010
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
ECAI
2006
Springer
15 years 1 months ago
2006
Springer
Robust execution of robotic tasks is a difficult problem. In many situations, these tasks involve complex behaviors combining different functionalities (e.g. perception, localizat...
AAAI
2000
14 years 10 months ago
2000
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...