z-logo
open-access-imgOpen Access
Value Function Approximation in Reinforcement Learning Using the Fourier Basis
Author(s) -
George Konidaris,
Sarah Osentoski,
Philip S. Thomas
Publication year - 2011
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v25i1.7903
Subject(s) - fourier series , basis (linear algebra) , basis function , value (mathematics) , fourier transform , function (biology) , mathematics , radial basis function , series (stratigraphy) , polynomial , mathematical analysis , computer science , artificial intelligence , statistics , geometry , evolutionary biology , artificial neural network , biology , paleontology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom