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» Approximation algorithms for stochastic orienteering
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124
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APPROX
2005
Springer
150views Algorithms» more  APPROX 2005»
15 years 6 months ago
A Primal-Dual Approximation Algorithm for Partial Vertex Cover: Making Educated Guesses
We study the partial vertex cover problem. Given a graph G = (V, E), a weight function w : V → R+ , and an integer s, our goal is to cover all but s edges, by picking a set of v...
Julián Mestre
STOC
2009
ACM
139views Algorithms» more  STOC 2009»
16 years 1 months ago
Online and stochastic survivable network design
Consider the edge-connectivity survivable network design problem: given a graph G = (V, E) with edge-costs, and edgeconnectivity requirements rij Z0 for every pair of vertices i,...
Anupam Gupta, Ravishankar Krishnaswamy, R. Ravi
ICASSP
2011
IEEE
14 years 4 months ago
Convergence of a distributed parameter estimator for sensor networks with local averaging of the estimates
The paper addresses the convergence of a decentralized Robbins-Monro algorithm for networks of agents. This algorithm combines local stochastic approximation steps for finding th...
Pascal Bianchi, Gersende Fort, Walid Hachem, J&eac...
NLP
2000
15 years 4 months ago
Monte-Carlo Sampling for NP-Hard Maximization Problems in the Framework of Weighted Parsing
Abstract. The purpose of this paper is (1) to provide a theoretical justification for the use of Monte-Carlo sampling for approximate resolution of NP-hard maximization problems in...
Jean-Cédric Chappelier, Martin Rajman
119
Voted
ATAL
2007
Springer
15 years 6 months ago
Reducing the complexity of multiagent reinforcement learning
It is known that the complexity of the reinforcement learning algorithms, such as Q-learning, may be exponential in the number of environment’s states. It was shown, however, th...
Andriy Burkov, Brahim Chaib-draa