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AAAI
2008
15 years 9 months ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
AAAI
2007
15 years 9 months ago
Learning Large Scale Common Sense Models of Everyday Life
Recent work has shown promise in using large, publicly available, hand-contributed commonsense databases as joint models that can be used to infer human state from day-to-day sens...
William Pentney, Matthai Philipose, Jeff A. Bilmes...
ATAL
2009
Springer
16 years 1 months ago
GreenWave distributed traffic intersection control
This demonstration proposal is for a distributed traffic intersection traffic-light control called GreenWave. The solution couples camera sensors with a novel collaborative multia...
Dominic A. P. Greenwood, Branislav Burdiliak, Ivan...
CEEMAS
2007
Springer
16 years 25 days ago
Models and Tools for Mulan Applications
Abstract In this work we describe the development process of multiagent application design and implementation with Mulan. Our approach can be characterized as model driven developm...
Lawrence Cabac, Till Dörges, Michael Duvignea...
AAAI
2008
15 years 9 months ago
Semi-Supervised Ensemble Ranking
Ranking plays a central role in many Web search and information retrieval applications. Ensemble ranking, sometimes called meta-search, aims to improve the retrieval performance b...
Steven C. H. Hoi, Rong Jin