| Record ID | marc_loc_2016/BooksAll.2016.part42.utf8:168999507:1428 |
| Source | Library of Congress |
| Download Link | /show-records/marc_loc_2016/BooksAll.2016.part42.utf8:168999507:1428?format=raw |
LEADER: 01428cam a22003377i 4500
001 2015413943
003 DLC
005 20151001083933.0
008 150617s2015 flua b 001 0 eng d
010 $a 2015413943
020 $a9781439856895 (hardcover)
020 $a1439856893 (hardcover)
035 $a(OCoLC)ocn908985534
040 $aYDXCP$beng$cYDXCP$erda$dOCLCO$dNHM$dCRCPR$dDLC
042 $alccopycat
050 00 $aQ325.6$b.S84 2015
082 04 $a006.3/1$223
100 1 $aSugiyama, Masashi,$d1974-$eauthor.
245 10 $aStatistical reinforcement learning :$bmodern machine learning approaches /$cMasashi Sugiyama, University of Tokyo, Tokyo, Japan.
264 1 $aBoca Raton, FL :$bCRC Press, Taylor & Francis Group,$c[2015]
300 $axiii, 192 pages :$billustrations ;$c25 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
490 1 $aChapman & Hall/CRC machine learning & pattern recognition series
500 $a"A Chapman & Hall book."
504 $aIncludes bibliographical references and index.
505 0 $a1. Introduction -- 2. Model-free policy iteration -- 3. Model-free policy search -- 4. Model-based reinforcement learning.
650 0 $aReinforcement learning$xStatistical methods.
650 7 $aReinforcement learning.$2fast$0(OCoLC)fst01732553
830 0 $aChapman & Hall/CRC machine learning & pattern recognition series.