Estimation of the forgetting factor in kernel recursive least squares

By Steven Van Vaerenbergh, Ignacio Santamaría, Miguel L'azaro-Gredilla. 2012

36 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Mechanics, Optimization & Training, Statistical Learning Theory

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. George Dimitri Konidaris
2. Bruno Castro da Silva
3. Andrew Barto
4. Sergey Levine
5. Jan Peters
6. Pierre-Yves Oudeyer
7. Gerhard Neumann
8. J. Urgen Schmidhuber

In Computational Mechanics

1. Andrew Barto
2. Huizhen Yu
3. Dimitri P. Bertsekas
4. Csaba Szepesvari
5. Richard S. Sutton
6. Bruno Scherrer
7. Amir-massoud Farahmand
8. R´emi Munos

In Optimization & Training

1. Bruno Castro da Silva
2. Andrew Barto
3. George Dimitri Konidaris

In Statistical Learning Theory

1. Bruno Castro da Silva
2. Andrew Barto
3. George Dimitri Konidaris

Citations in the corpus

• Learning Parameterized Skills (2012, background): “These functions, constructed by the product of a standard kernel and an a Ornstein-Uhlenbeck temporal kernel, often require estimating a forgetting factor [82].”