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AEI
2000
120views more  AEI 2000»
15 years 6 months ago
A neural network approach for a robot task sequencing problem
This paper presents a neural network approach with successful implementation for the robot task-sequencing problem. The problem addresses the sequencing of tasks comprising loadin...
Oded Maimon, Dan Braha, Vineet Seth
ATAL
2008
Springer
15 years 8 months ago
Reinforcement learning for DEC-MDPs with changing action sets and partially ordered dependencies
Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...
Thomas Gabel, Martin A. Riedmiller
EOR
2008
78views more  EOR 2008»
15 years 6 months ago
Maximizing throughput in queueing networks with limited flexibility
We study a queueing network where customers go through several stages of processing, with the class of a customer used to indicate the stage of processing. The customers are servic...
Douglas G. Down, George Karakostas
JMLR
2006
140views more  JMLR 2006»
15 years 6 months ago
Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
Masashi Sugiyama
VLDB
2007
ACM
107views Database» more  VLDB 2007»
16 years 6 months ago
VGRAM: Improving Performance of Approximate Queries on String Collections Using Variable-Length Grams
Many applications need to solve the following problem of approximate string matching: from a collection of strings, how to find those similar to a given string, or the strings in ...
Chen Li, Bin Wang, Xiaochun Yang