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ATAL
2006
Springer
15 years 1 months ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
EAAI
2006
123views more  EAAI 2006»
14 years 9 months ago
Applications of artificial intelligence for optimization of compressor scheduling
This paper presents a feasibility study of evolutionary scheduling for gas pipeline operations. The problem is complex because of several constraints that must be taken into consi...
Hanh H. Nguyen, Christine W. Chan
STOC
2001
ACM
134views Algorithms» more  STOC 2001»
15 years 10 months ago
Data-streams and histograms
Histograms are typically used to approximate data distributions. Histograms and related synopsis structures have been successful in a wide variety of popular database applications...
Sudipto Guha, Nick Koudas, Kyuseok Shim
SPAA
2010
ACM
15 years 2 months ago
Collaborative scoring with dishonest participants
Consider a set of players that are interested in collectively evaluating a set of objects. We develop a collaborative scoring protocol in which each player evaluates a subset of t...
Seth Gilbert, Rachid Guerraoui, Faezeh Malakouti R...
IJDMBC
2010
115views more  IJDMBC 2010»
14 years 4 months ago
Near Optimum Power Control and Precoding under Fairness Constraints in Network MIMO Systems
Abstract--We consider the problem of setting the uplink signalto-noise-and-interference (SINR) target and allocating transmit powers for mobile stations in multicell spatial multip...
Gábor Fodor, Mikael Johansson, Pablo Soldat...