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GIS
2010
ACM
13 years 7 months ago
A case for time-dependent shortest path computation in spatial networks
The problem of point-to-point shortest path computation in spatial networks is extensively studied with many approaches proposed to speed-up the computation. Most of the existing ...
Ugur Demiryurek, Farnoush Banaei Kashani, Cyrus Sh...
TACAS
2007
Springer
110views Algorithms» more  TACAS 2007»
14 years 2 months ago
Counterexamples in Probabilistic Model Checking
This paper considers algorithms and complexity results for the generation of counterexamples in model checking of probabilistic until-formulae in discrete-time Markov chains (DTMCs...
Tingting Han, Joost-Pieter Katoen
IWANN
1997
Springer
14 years 24 days ago
Dynamic Path Planning with Spiking Neural Networks
: The path planning problem is relevant for all applications in which a mobil robot should autonomously navigate. Finding the shortest path in an environment that is only partialy ...
Ulrich Roth, Marc Walker, Arne Hilmann, Heinrich K...
WSC
2008
13 years 11 months ago
On step sizes, stochastic shortest paths, and survival probabilities in Reinforcement Learning
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
Abhijit Gosavi
ENTCS
2007
110views more  ENTCS 2007»
13 years 8 months ago
Algorithmic Techniques for Maintaining Shortest Routes in Dynamic Networks
In this paper, we survey algorithms for shortest paths in dynamic networks. Although research on this problem spans over more than three decades, in the last couple of years many ...
Camil Demetrescu, Giuseppe F. Italiano