91 search results - page 3 / 19 » Event-based control using quadratic approximate value functi... |
138
Voted
ESANN
2008
15 years 5 months ago
2008
Using multilayer perceptrons (MLPs) to approximate the state-action value function in reinforcement learning (RL) algorithms could become a nightmare due to the constant possibilit...
114
Voted
RTS
2002
15 years 3 months ago
2002
A scheduling architecture for real-time control tasks is proposed. The scheduler uses feedback from execution-time measurements and feedforward from workload changes to adjust the...
155
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CORR
2011
Springer
14 years 10 months ago
2011
Springer
Quadratic Programming (QP) is the well-studied problem of maximizing over {−1, 1} values the quadratic form i=j aijxixj. QP captures many known combinatorial optimization proble...
117
Voted
ESANN
2007
15 years 5 months ago
2007
Abstract. The convex optimisation problem involved in fitting a kernel probit regression (KPR) model can be solved efficiently via an iteratively re-weighted least-squares (IRWLS)...
149
Voted
ESSMAC
2003
Springer
15 years 8 months ago
2003
Springer
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...