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NIPS
1993
15 years 5 months ago
Convergence of Stochastic Iterative Dynamic Programming Algorithms
Recent developments in the area of reinforcement learning have yielded a number of new algorithms for the prediction and control of Markovian environments. These algorithms,includ...
Tommi Jaakkola, Michael I. Jordan, Satinder P. Sin...
JAIR
2008
113views more  JAIR 2008»
15 years 3 months ago
Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems
In this article we consider the issue of optimal control in collaborative multi-agent systems with stochastic dynamics. The agents have a joint task in which they have to reach a ...
Bart van den Broek, Wim Wiegerinck, Bert Kappen
TASE
2008
IEEE
15 years 3 months ago
Stochastic Modeling of an Automated Guided Vehicle System With One Vehicle and a Closed-Loop Path
Abstract--The use of automated guided vehicles (AGVs) in material-handling processes of manufacturing facilities and warehouses isbecomingincreasinglycommon.AcriticaldrawbackofanAG...
Aykut F. Kahraman, Abhijit Gosavi, Karla J. Oty
BMCBI
2005
102views more  BMCBI 2005»
15 years 3 months ago
BioCreAtIvE Task1A: entity identification with a stochastic tagger
Background: Our approach to Task 1A was inspired by Tanabe and Wilbur's ABGene system [1,2]. Like Tanabe and Wilbur, we approached the problem as one of part-of-speech taggin...
Shuhei Kinoshita, K. Bretonnel Cohen, Philip V. Og...
COR
2007
86views more  COR 2007»
15 years 3 months ago
Sourcing with random yields and stochastic demand: A newsvendor approach
We studied a supplier selection problem, where a buyer, while facing random demand, is to decide ordering quantities from a set of suppliers with different yields and prices.We pr...
Shitao Yang, Jian Yang, Layek Abdel-Malek