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ICML
2007
IEEE
16 years 7 months ago
Tracking value function dynamics to improve reinforcement learning with piecewise linear function approximation
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
Chee Wee Phua, Robert Fitch
PODC
2009
ACM
16 years 7 months ago
Distributed and parallel algorithms for weighted vertex cover and other covering problems
The paper presents distributed and parallel -approximation algorithms for covering problems, where is the maximum number of variables on which any constraint depends (for example...
Christos Koufogiannakis, Neal E. Young
SIAMCOMP
2008
108views more  SIAMCOMP 2008»
15 years 6 months ago
A Primal-Dual Bicriteria Distributed Algorithm for Capacitated Vertex Cover
In this paper we consider the capacitated vertex cover problem which is the variant of vertex cover where each node is allowed to cover a limited number of edges. We present an ef...
Fabrizio Grandoni, Jochen Könemann, Alessandr...
ATAL
2010
Springer
15 years 7 months ago
Point-based backup for decentralized POMDPs: complexity and new algorithms
Decentralized POMDPs provide an expressive framework for sequential multi-agent decision making. Despite their high complexity, there has been significant progress in scaling up e...
Akshat Kumar, Shlomo Zilberstein
INFOCOM
2007
IEEE
16 years 25 days ago
Nearly Constant Approximation for Data Aggregation Scheduling in Wireless Sensor Networks
Abstract— Data aggregation is a fundamental yet timeconsuming task in wireless sensor networks. We focus on the latency part of data aggregation. Previously, the data aggregation...
Scott C.-H. Huang, Peng-Jun Wan, Chinh T. Vu, Ying...