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ICTAI
1996
IEEE
13 years 8 months ago
Incremental Markov-Model Planning
This paper presents an approach to building plans using partially observable Markov decision processes. The approach begins with a base solution that assumes full observability. T...
Richard Washington
FLAIRS
2001
13 years 6 months ago
Probabilistic Planning for Behavior-Based Robots
Partially Observable Markov Decision Process models (POMDPs) have been applied to low-level robot control. We show how to use POMDPs differently, namely for sensorplanning in the ...
Amin Atrash, Sven Koenig
TROB
2008
113views more  TROB 2008»
13 years 4 months ago
Occam's Razor Applied to Network Topology Inference
We present a method for inferring the topology of a sensor network given nondiscriminating observations of activity in the monitored region. This is accomplished based on no prior ...
Dimitri Marinakis, Gregory Dudek
GECCO
2007
Springer
148views Optimization» more  GECCO 2007»
13 years 10 months ago
Exploring the behavior of building blocks for multi-objective variation operator design using predator-prey dynamics
In this paper, we utilize a predator-prey model in order to identify characteristics of single-objective variation operators in the multi-objective problem domain. In detail, we a...
Christian Grimme, Joachim Lepping, Alexander Papas...
DAGSTUHL
2007
13 years 6 months ago
Exploiting Community Behavior for Enhanced Link Analysis and Web Search
Methods for Web link analysis and authority ranking such as PageRank are based on the assumption that a user endorses a Web page when creating a hyperlink to this page. There is a...
Julia Luxenburger, Gerhard Weikum