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2007
176views Robotics» more  RSS 2007»
13 years 10 months ago
Active Policy Learning for Robot Planning and Exploration under Uncertainty
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
PRL
2006
221views more  PRL 2006»
13 years 9 months ago
Towards on-line saccade planning for high-resolution image sensing
This paper considers the problem of designing an active observer to plan a sequence of decisions regarding what target to look at, through a foveal-sensing action. We propose a fr...
Alberto Del Bimbo, Federico Pernici
DKE
2006
123views more  DKE 2006»
13 years 9 months ago
Cost models for distance joins queries using R-trees
The K-Closest-Pairs Query (K-CPQ), a type of distance join in spatial databases, discovers the K pairs of objects formed from two different datasets with the K smallest distances....
Antonio Corral, Yannis Manolopoulos, Yannis Theodo...
WSC
2004
13 years 10 months ago
Simulation-Based Advanced WIP Management and Control in Semiconductor Manufacturing
We develop a hierarchical distributed production planning and control methodology, called DISCS, for a large and unstable semiconductor manufacturing process. The upper layer of D...
Kazuo Miyashita, Tsukasa Okazaki, Hirofumi Matsuo
CCE
2004
13 years 9 months ago
Optimization under uncertainty: state-of-the-art and opportunities
A large number of problems in production planning and scheduling, location, transportation, finance, and engineering design require that decisions be made in the presence of uncer...
Nikolaos V. Sahinidis