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» Stochastic Shortest Paths Via Quasi-convex Maximization
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ESA
2006
Springer
139views Algorithms» more  ESA 2006»
14 years 2 months ago
Stochastic Shortest Paths Via Quasi-convex Maximization
Abstract. We consider the problem of finding shortest paths in a graph with independent randomly distributed edge lengths. Our goal is to maximize the probability that the path len...
Evdokia Nikolova, Jonathan A. Kelner, Matthew Bran...
CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
13 years 8 months ago
Stochastic optimization for Markov modulated networks with application to delay constrained wireless scheduling
Abstract-- We consider a wireless system with a small number of delay constrained users and a larger number of users without delay constraints. We develop a scheduling algorithm th...
Michael J. Neely
WSC
2008
14 years 1 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
INFOCOM
2003
IEEE
14 years 4 months ago
Detecting Network Intrusions via Sampling: A Game Theoretic Approach
In this paper, we consider the problem of detecting an intruding packet in a communication network. Detection is accomplished by sampling a portion of the packets transiting selec...
Murali S. Kodialam, T. V. Lakshman
TWC
2008
135views more  TWC 2008»
13 years 10 months ago
Optimal Distributed Stochastic Routing Algorithms for Wireless Multihop Networks
A novel framework was introduced recently for stochastic routing in wireless multihop networks, whereby each node selects a neighbor to forward a packet according to a probability...
Alejandro Ribeiro, Nikolas D. Sidiropoulos, Georgi...