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ESANN
2004
15 years 8 months ago
High-accuracy value-function approximation with neural networks applied to the acrobot
Several reinforcement-learning techniques have already been applied to the Acrobot control problem, using linear function approximators to estimate the value function. In this pape...
Rémi Coulom
VISSYM
2003
15 years 8 months ago
Adaptive Smooth Scattered Data Approximation for Large-scale Terrain Visualization
We present a fast method that adaptively approximates large-scale functional scattered data sets with hierarchical B-splines. The scheme is memory efficient, easy to implement an...
Martin Bertram, Xavier Tricoche, Hans Hagen
FUIN
2007
123views more  FUIN 2007»
15 years 6 months ago
Analysis of Approximate Petri Nets by Means of Occurrence Graphs
Abstract. Approximate Petri nets (AP-nets) can be used for the knowledge representation and approximate reasoning. The AP-net model is defined on the basis of the rough set approa...
Zbigniew Suraj, Barbara Fryc
JSC
2007
97views more  JSC 2007»
15 years 6 months ago
On approximate triangular decompositions in dimension zero
Triangular decompositions for systems of polynomial equations with n variables, with exact coefficients, are well developed theoretically and in terms of implemented algorithms i...
Marc Moreno Maza, Gregory J. Reid, Robin Scott, We...
CDC
2010
IEEE
15 years 1 months ago
Stochastic approximation for consensus with general time-varying weight matrices
This paper considers consensus problems with delayed noisy measurements, and stochastic approximation is used to achieve mean square consensus. For stochastic approximation based c...
Minyi Huang