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AIPS
2004
15 years 8 months ago
Optimal Resource Allocation and Policy Formulation in Loosely-Coupled Markov Decision Processes
The problem of optimal policy formulation for teams of resource-limited agents in stochastic environments is composed of two strongly-coupled subproblems: a resource allocation pr...
Dmitri A. Dolgov, Edmund H. Durfee
STOC
2004
ACM
150views Algorithms» more  STOC 2004»
16 years 7 months ago
Typical properties of winners and losers in discrete optimization
We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a...
René Beier, Berthold Vöcking
JGO
2010
117views more  JGO 2010»
15 years 5 months ago
Machine learning problems from optimization perspective
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
Lei Xu
HICSS
2011
IEEE
157views Biometrics» more  HICSS 2011»
14 years 10 months ago
Reusing Relational Queries for Intuitive Decision Optimization
— Decision optimization is used in many applications such as those for finding the best course of action in emergencies. However, optimization solutions require considerable mat...
Alexander Brodsky, Nathan E. Egge, Xiaoyang Sean W...
ENTCS
2007
108views more  ENTCS 2007»
15 years 6 months ago
Generating Java Compiler Optimizers Using Bidirectional CTL
There have been several research works that analyze and optimize programs using temporal logic. However, no evaluation of optimization time or execution time of these implementati...
Ling Fang, Masataka Sassa