374 search results - page 70 / 75 » Multiagent Reinforcement Learning: Theoretical Framework and... |
ATAL
2006
Springer
13 years 11 months ago
2006
Springer
Knowledge transfer between expert and novice agents is a challenging problem given that the knowledge representation and learning algorithms used by the novice learner can be fund...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
In this paper we investigate the general problem of discovering recurrent patterns that are embedded in categorical sequences. An important real-world problem of this nature is mo...
AAAI
2012
11 years 10 months ago
2012
Knowledge transfer is computationally challenging, due in part to the curse of dimensionality, compounded by source and target domains expressed using different features (e.g., do...
AIPS
2008
13 years 10 months ago
2008
The POMDP is considered as a powerful model for planning under uncertainty. However, it is usually impractical to employ a POMDP with exact parameters to model precisely the real-...
AAAI
2010
13 years 9 months ago
2010
Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and uns...