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FLAIRS
1998
15 years 5 months ago
Optimizing Production Manufacturing Using Reinforcement Learning
Manyindustrial processes involve makingparts with an assemblyof machines, where each machinecarries out an operation on a part, and the finished product requires a wholeseries of ...
Sridhar Mahadevan, Georgios Theocharous
AAAI
1997
15 years 5 months ago
Tabu Search for SAT
In this paper, tabu search for SAT is investigated from an experimental point of view. To this end, TSAT, a basic tabu search algorithm for SAT, is introduced and compared with Se...
Bertrand Mazure, Lakhdar Sais, Éric Gr&eacu...
AAAI
1997
15 years 5 months ago
Evidence for Invariants in Local Search
It is well known that the performance of a stochastic local search procedure depends upon the setting of its noise parameter, and that the optimal setting varies with the problem ...
David A. McAllester, Bart Selman, Henry A. Kautz
ACL
1997
15 years 5 months ago
A DOP Model for Semantic Interpretation
In data-oriented language processing, an annotated language corpus is used as a stochastic grammar. The most probable analysis of a new sentence is constructed by combining fragme...
Remko Bonnema, Rens Bod, Remko Scha
WSC
1997
15 years 5 months ago
Seven Habits of Highly Successful Input Modelers
Discrete-event simulation models typically have stochastic components that mimic the probabilistic nature of the system under consideration. Successful input modeling requires a c...
Lawrence Leemis