Learning the filling policy of a biodegradation process by fuzzy actor-critic learning methodology

Efraín Franco Flores; Julio Waissman Vilanova; Jair García Lamont

doi:10.1007/978-3-540-88636-523

Learning the filling policy of a biodegradation process by fuzzy actor-critic learning methodology

Efraín Franco Flores, Julio Waissman Vilanova, Jair García Lamont

Desarrollo de Sistemas de Cómputo para los Sectores Productivos y/o de Servicios

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Original language	American English
Title of host publication	Learning the filling policy of a biodegradation process by fuzzy actor-critic learning methodology
Pages	243-253
Number of pages	11
ISBN (Electronic)	3540886354
DOIs	https://doi.org/10.1007/978-3-540-88636-523
State	Published - 1 Jan 2008
Event	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Duration: 1 Jan 2008 → …

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5317 LNAI
ISSN (Print)	0302-9743

Conference

Conference	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Period	1/01/08 → …

Access to Document

10.1007/978-3-540-88636-523

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Franco Flores, E., Waissman Vilanova, J., & García Lamont, J. (2008). Learning the filling policy of a biodegradation process by fuzzy actor-critic learning methodology. In Learning the filling policy of a biodegradation process by fuzzy actor-critic learning methodology (pp. 243-253). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5317 LNAI). https://doi.org/10.1007/978-3-540-88636-523

Franco Flores, Efraín ; Waissman Vilanova, Julio ; García Lamont, Jair. / Learning the filling policy of a biodegradation process by fuzzy actor-critic learning methodology. Learning the filling policy of a biodegradation process by fuzzy actor-critic learning methodology. 2008. pp. 243-253 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Learning the filling policy of a biodegradation process by fuzzy actor-critic learning methodology",

author = "{Franco Flores}, Efra{\'i}n and {Waissman Vilanova}, Julio and {Garc{\'i}a Lamont}, Jair",

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Franco Flores, E, Waissman Vilanova, J & García Lamont, J 2008, Learning the filling policy of a biodegradation process by fuzzy actor-critic learning methodology. in Learning the filling policy of a biodegradation process by fuzzy actor-critic learning methodology. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5317 LNAI, pp. 243-253, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1/01/08. https://doi.org/10.1007/978-3-540-88636-523

Learning the filling policy of a biodegradation process by fuzzy actor-critic learning methodology. / Franco Flores, Efraín; Waissman Vilanova, Julio; García Lamont, Jair.

Learning the filling policy of a biodegradation process by fuzzy actor-critic learning methodology. 2008. p. 243-253 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5317 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Franco Flores E, Waissman Vilanova J, García Lamont J. Learning the filling policy of a biodegradation process by fuzzy actor-critic learning methodology. In Learning the filling policy of a biodegradation process by fuzzy actor-critic learning methodology. 2008. p. 243-253. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-88636-523