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103
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ICML
2010
IEEE
14 years 9 months ago
2010
IEEE
Temporal difference (TD) algorithms are attractive for reinforcement learning due to their ease-of-implementation and use of "bootstrapped" return estimates to make effi...
DT
2000
14 years 11 months ago
2000
The design of complex embedded systems involves the simultaneous optimization of several often competing objectives. Instead of a single optimal design, there is rather a set of a...
78
Voted
QEST
2006
IEEE
15 years 5 months ago
2006
IEEE
We give a quick overview of some key issues in (quantitative) call center management: building realistic models, developing efficient tools to simulate these models, finding qui...
89
Voted
AUTOMATICA
2008
14 years 11 months ago
2008
This paper presents a guaranteed method for the parameter estimation of nonlinear models in a bounded-error context. This method is based on functions which consists of the differ...
AICCSA
2006
IEEE
15 years 5 months ago
2006
IEEE
The problem of optimally deploying a heterogeneous set of sensing devices in environments with differential surveillance requirements is presented. The problem is formulated in th...