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ICML
2001
IEEE
16 years 5 months ago
Continuous-Time Hierarchical Reinforcement Learning
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
Mohammad Ghavamzadeh, Sridhar Mahadevan
ISBI
2008
IEEE
16 years 5 months ago
An accurate PSF model with few parameters for axially shift-variant deconvolution
Accurate knowledge of an imaging system's point spread function (PSF) is crucial for successful deconvolution. For fluorescence microscopy, PSF estimations based on either th...
François Aguet, Dimitri Van De Ville, Micha...
WWW
2007
ACM
16 years 5 months ago
Collaborative ICT for Indian business clusters
Indian business clusters have contributed immensely to the country's industrial output, poverty alleviation and employment generation. However, with recent globalization thes...
Soumya Roy, Shantanu Biswas
ICLP
2009
Springer
16 years 5 months ago
Answer Set Programming with Constraints Using Lazy Grounding
The paper describes a novel methodology to compute stable models in Answer Set Programming. The proposed approach relies on a bottom-up computation that does not require a prelimin...
Agostino Dovier, Alessandro Dal Palù, Enric...
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EACL
2009
ACL Anthology
16 years 5 months ago
Translation as Weighted Deduction
We present a unified view of many translation algorithms that synthesizes work on deductive parsing, semiring parsing, and efficient approximate search algorithms. This gives rise...
Adam Lopez