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119
Voted
TASE
2008
IEEE
15 years 2 months ago
2008
IEEE
Dynamic programming, branch-and-bound, and constraint programming are the standard solution principles for nding optimal solutions to machine scheduling problems. We propose a new ...
131
Voted
PPSN
2004
Springer
15 years 8 months ago
2004
Springer
Two ideas taken from Bayesian optimization and classifier systems are presented for personnel scheduling based on choosing a suitable scheduling rule from a set for each person’s...
115
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STOC
2010
ACM
15 years 7 months ago
2010
ACM
We study the classic mathematical economics problem of Bayesian optimal mechanism design where a principal aims to optimize expected revenue when allocating resources to self-inte...
110
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CSC
2006
15 years 4 months ago
2006
: This work is about an algorithm for solving a linear program which is simple to apply. There are three algorithms in this work. The first algorithm solves a two-variable linear p...
111
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ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...