486 search results - page 21 / 98 » A Bayesian Framework for Reinforcement Learning |
128
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CORR
2000
Springer
15 years 3 months ago
2000
Springer
We describe a framework and equations used to model and predict the behavior of multi-agent systems (MASs) with learning agents. A difference equation is used for calculating the ...
240
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ATAL
2006
Springer
15 years 7 months ago
2006
Springer
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
178
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ACCV
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
135
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PKDD
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...
NIPS
2007
15 years 5 months ago
2007