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AIPS
1998
13 years 8 months ago
Solving Stochastic Planning Problems with Large State and Action Spaces
Planning methods for deterministic planning problems traditionally exploit factored representations to encode the dynamics of problems in terms of a set of parameters, e.g., the l...
Thomas Dean, Robert Givan, Kee-Eung Kim
PE
2000
Springer
118views Optimization» more  PE 2000»
13 years 7 months ago
A probabilistic dynamic technique for the distributed generation of very large state spaces
Conventional methods for state space exploration are limited to the analysis of small systems because they suffer from excessive memory and computational requirements. We have dev...
William J. Knottenbelt, Peter G. Harrison, Mark Me...
ICALP
2009
Springer
14 years 7 months ago
B-Treaps: A Uniquely Represented Alternative to B-Trees
We present the first uniquely represented data structure for an external memory model of computation, a B-tree analogue called a B-treap. Uniquely represented data structures repre...
Daniel Golovin
VOSS
2004
Springer
152views Mathematics» more  VOSS 2004»
14 years 24 days ago
Symbolic Representations and Analysis of Large Probabilistic Systems
Abstract. This paper describes symbolic techniques for the construction, representation and analysis of large, probabilistic systems. Symbolic approaches derive their efficiency by...
Andrew S. Miner, David Parker
MASCOTS
2010
13 years 5 months ago
Black-Box Performance Modeling for Solid-State Drives
—Flash-based Solid-State Drives (SSDs) have become a promising alternative to magnetic Hard Disk Drives (HDDs) thanks to the large improvements in performance, power consumption,...
Shan Li, H. Howie Huang