Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Modular neural networks and reinforcement learning
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.
2004 (English)Report (Other academic)
Abstract [en]

We investigate the effect of modular architecture in an artificial neural network for a reinforcement learning problem. Using the supervised backpropagation algorithm to solve a two-task problem, the network performance can be increased by using networks with modular structures. However, using a modular architecture to solve a two-task reinforcement learning problem will not increase the performance compared to a non-modular structure. We show that by combining a modular structure with a modular reward signal the network learns significantly faster.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2004. no 34, 6 p.
Series
Trita-NA, ISSN 0348-2952 ; 0434
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-8799OAI: oai:DiVA.org:kth-8799DiVA: diva2:14233
Note
QC 20111216Available from: 2005-11-23 Created: 2005-11-23 Last updated: 2011-12-16Bibliographically approved
In thesis
1. Towards a framework for reinforcement learning with artificial neural networks
Open this publication in new window or tab >>Towards a framework for reinforcement learning with artificial neural networks
2004 (English)Licentiate thesis, comprehensive summary (Other scientific)
Place, publisher, year, edition, pages
Stockholm: Numerisk analys och datalogi, 2004
Series
Trita-NA, ISSN 0348-2952 ; 0437
Keyword
aritficial neural networks, reinforcement learning, BCPNN, modularity, genetic algorithms
National Category
Computer Science
Identifiers
urn:nbn:se:kth:diva-500 (URN)91-7283-928-7 (ISBN)
Presentation
2004-12-10, E32, KTH, Lindstedsvägen 3, Stockholm, 13:00
Available from: 2005-11-23 Created: 2005-11-23 Last updated: 2012-03-21

Open Access in DiVA

fulltext(81 kB)372 downloads
File information
File name FULLTEXT01.pdfFile size 81 kBChecksum SHA-512
51002c5457acf1b89407599cc96106c9ce81725befc96cfb18d965ba1a26a951a992cca5ca15953fb1ebc0cc4a3e2faf51cda095d6d26ee4c50289d433540a5c
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Raicevic, Peter
By organisation
Numerical Analysis and Computer Science, NADA
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 372 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 80 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf