Hybrid least-squares methods for reinforcement learning

Hailin Li; Cihan H. Dagli

doi:10.1007/3-540-45034-3_47

Hybrid least-squares methods for reinforcement learning

Hailin Li
, Cihan H. Dagli

Engineering Management and Systems Engineering

Missouri University of Science and Technology

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

Original language	English
Title of host publication	Developments in Applied Artificial Intelligence
Editors	Paul W. H. Chung, Chris Hinde, Moonis Ali
Publisher	Springer Verlag
Pages	471-480
Number of pages	10
ISBN (Print)	3540404554, 9783540404552
DOIs	https://doi.org/10.1007/3-540-45034-3_47
State	Published - 2003
Event	16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003 - Loughborough, United Kingdom Duration: Jun 23 2003 → Jun 26 2003

Publication series

Name	Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume	2718
ISSN (Print)	0302-9743

Conference

Conference	16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003
Country/Territory	United Kingdom
City	Loughborough
Period	6/23/03 → 6/26/03

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/3-540-45034-3_47

Cite this

Hybrid least-squares methods for reinforcement learning. / Li, Hailin; Dagli, Cihan H.
Developments in Applied Artificial Intelligence. ed. / Paul W. H. Chung; Chris Hinde; Moonis Ali. Springer Verlag, 2003. p. 471-480 (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); Vol. 2718).

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

Li, H & Dagli, CH 2003, Hybrid least-squares methods for reinforcement learning. in PWH Chung, C Hinde & M Ali (eds), Developments in Applied Artificial Intelligence. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), vol. 2718, Springer Verlag, pp. 471-480, 16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003, Loughborough, United Kingdom, 6/23/03. https://doi.org/10.1007/3-540-45034-3_47

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title = "Hybrid least-squares methods for reinforcement learning",

author = "Hailin Li and Dagli, \{Cihan H.\}",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2003.; 16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003 ; Conference date: 23-06-2003 Through 26-06-2003",

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M3 - Conference contribution

AN - SCOPUS:7044229319

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SN - 9783540404552

T3 - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

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A2 - Chung, Paul W. H.

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Y2 - 23 June 2003 through 26 June 2003

ER -

Hybrid least-squares methods for reinforcement learning

Publication series

Conference

ASJC Scopus Subject Areas

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