<?xml version="1.0" encoding="UTF-8"?>
<collection xmlns="http://www.loc.gov/MARC21/slim">
 <record>
  <leader>     caa a22        4500</leader>
  <controlfield tag="001">477034233</controlfield>
  <controlfield tag="003">CHVBK</controlfield>
  <controlfield tag="005">20180405111301.0</controlfield>
  <controlfield tag="007">cr unu---uuuuu</controlfield>
  <controlfield tag="008">170330e19961201xx      s     000 0 eng  </controlfield>
  <datafield tag="024" ind1="7" ind2="0">
   <subfield code="a">10.1007/BF00426025</subfield>
   <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="035" ind1=" " ind2=" ">
   <subfield code="a">(NATIONALLICENCE)springer-10.1007/BF00426025</subfield>
  </datafield>
  <datafield tag="245" ind1="0" ind2="2">
   <subfield code="a">A reinforcement learning approach based on the fuzzy min-max neural network</subfield>
   <subfield code="h">[Elektronische Daten]</subfield>
   <subfield code="c">[Aristidis Likas, Kostas Blekas]</subfield>
  </datafield>
  <datafield tag="520" ind1="3" ind2=" ">
   <subfield code="a">The fuzzy min-max neural network constitutes a neural architecture that is based on hyperbox fuzzy sets and can be incrementally trained by appropriately adjusting the number of hyperboxes and their corresponding volumes. Two versions have been proposed: for supervised and unsupervised learning. In this paper a modified approach is presented that is appropriate for reinforcement learning problems with discrete action space and is applied to the difficult task of autonomous vehicle navigation when no a priori knowledge of the enivronment is available. Experimental results indicate that the proposed reinforcement learning network exhibits superior learning behavior compared to conventional reinforcement schemes.</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
   <subfield code="a">Kluwer Academic Publishers, 1996</subfield>
  </datafield>
  <datafield tag="690" ind1=" " ind2="7">
   <subfield code="a">fuzzy min-max neural network</subfield>
   <subfield code="2">nationallicence</subfield>
  </datafield>
  <datafield tag="690" ind1=" " ind2="7">
   <subfield code="a">reinforcement learning</subfield>
   <subfield code="2">nationallicence</subfield>
  </datafield>
  <datafield tag="690" ind1=" " ind2="7">
   <subfield code="a">autonomous vehicle navigation</subfield>
   <subfield code="2">nationallicence</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
   <subfield code="a">Likas</subfield>
   <subfield code="D">Aristidis</subfield>
   <subfield code="u">Department of Computer Science, University of Ioannina, P.O. Box. 1186, GR 45110, Ioannina, Greece</subfield>
   <subfield code="4">aut</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
   <subfield code="a">Blekas</subfield>
   <subfield code="D">Kostas</subfield>
   <subfield code="u">Computer Science Division, Department of Electrical and Computer Engineering, National Technical University of Athens, 157 73 Zographou, Athens, Greece</subfield>
   <subfield code="4">aut</subfield>
  </datafield>
  <datafield tag="773" ind1="0" ind2=" ">
   <subfield code="t">Neural Processing Letters</subfield>
   <subfield code="d">Kluwer Academic Publishers; http://www.wkap.nl</subfield>
   <subfield code="g">4/3(1996-12-01), 167-172</subfield>
   <subfield code="x">1370-4621</subfield>
   <subfield code="q">4:3&lt;167</subfield>
   <subfield code="1">1996</subfield>
   <subfield code="2">4</subfield>
   <subfield code="o">11063</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2="0">
   <subfield code="u">https://doi.org/10.1007/BF00426025</subfield>
   <subfield code="q">text/html</subfield>
   <subfield code="z">Onlinezugriff via DOI</subfield>
  </datafield>
  <datafield tag="908" ind1=" " ind2=" ">
   <subfield code="D">1</subfield>
   <subfield code="a">research-article</subfield>
   <subfield code="2">jats</subfield>
  </datafield>
  <datafield tag="950" ind1=" " ind2=" ">
   <subfield code="B">NATIONALLICENCE</subfield>
   <subfield code="P">856</subfield>
   <subfield code="E">40</subfield>
   <subfield code="u">https://doi.org/10.1007/BF00426025</subfield>
   <subfield code="q">text/html</subfield>
   <subfield code="z">Onlinezugriff via DOI</subfield>
  </datafield>
  <datafield tag="950" ind1=" " ind2=" ">
   <subfield code="B">NATIONALLICENCE</subfield>
   <subfield code="P">700</subfield>
   <subfield code="E">1-</subfield>
   <subfield code="a">Likas</subfield>
   <subfield code="D">Aristidis</subfield>
   <subfield code="u">Department of Computer Science, University of Ioannina, P.O. Box. 1186, GR 45110, Ioannina, Greece</subfield>
   <subfield code="4">aut</subfield>
  </datafield>
  <datafield tag="950" ind1=" " ind2=" ">
   <subfield code="B">NATIONALLICENCE</subfield>
   <subfield code="P">700</subfield>
   <subfield code="E">1-</subfield>
   <subfield code="a">Blekas</subfield>
   <subfield code="D">Kostas</subfield>
   <subfield code="u">Computer Science Division, Department of Electrical and Computer Engineering, National Technical University of Athens, 157 73 Zographou, Athens, Greece</subfield>
   <subfield code="4">aut</subfield>
  </datafield>
  <datafield tag="950" ind1=" " ind2=" ">
   <subfield code="B">NATIONALLICENCE</subfield>
   <subfield code="P">773</subfield>
   <subfield code="E">0-</subfield>
   <subfield code="t">Neural Processing Letters</subfield>
   <subfield code="d">Kluwer Academic Publishers; http://www.wkap.nl</subfield>
   <subfield code="g">4/3(1996-12-01), 167-172</subfield>
   <subfield code="x">1370-4621</subfield>
   <subfield code="q">4:3&lt;167</subfield>
   <subfield code="1">1996</subfield>
   <subfield code="2">4</subfield>
   <subfield code="o">11063</subfield>
  </datafield>
  <datafield tag="900" ind1=" " ind2="7">
   <subfield code="a">Metadata rights reserved</subfield>
   <subfield code="b">Springer special CC-BY-NC licence</subfield>
   <subfield code="2">nationallicence</subfield>
  </datafield>
  <datafield tag="898" ind1=" " ind2=" ">
   <subfield code="a">BK010053</subfield>
   <subfield code="b">XK010053</subfield>
   <subfield code="c">XK010000</subfield>
  </datafield>
  <datafield tag="949" ind1=" " ind2=" ">
   <subfield code="B">NATIONALLICENCE</subfield>
   <subfield code="F">NATIONALLICENCE</subfield>
   <subfield code="b">NL-springer</subfield>
  </datafield>
 </record>
</collection>
