LEADER 02181nam  2200397z- 450 
001 9910138302103321
005 20231214145436.0
010   $a953-51-5821-X
035   $a(CKB)3230000000075310
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/64664
035   $a(EXLCZ)993230000000075310
100   $a20202104d2008      u|            0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aReinforcement Learning
210   $cIntechOpen$d2008
215   $a1 electronic resource (434 p.)
311   $a3-902613-14-9 
330   $aBrains rule the world, and brain-like computation is increasingly used in computers and electronic devices. Brain-like computation is about processing and interpreting data or directly putting forward and performing actions. Learning is a very important aspect. This book is on reinforcement learning which involves performing actions to achieve a goal. The first 11 chapters of this book describe and extend the scope of reinforcement learning. The remaining 11 chapters show that there is already wide usage in numerous fields. Reinforcement learning can tackle control tasks that are too complex for traditional, hand-designed, non-learning controllers. As learning computers can deal with technical complexities, the tasks of human operators remain to specify goals on increasingly higher levels. This book shows that reinforcement learning is a very dynamic area in terms of theory and applications and it shall stimulate and encourage new research in this field.
606   $aArtificial intelligence$2bicssc
610   $aNeural networks & fuzzy systems
615  7$aArtificial intelligence
700   $aWeber$b Cornelius$4edt$01304126
702   $aElshaw$b Mark$4edt
702   $aMichael Mayer$b Norbert$4edt
702   $aWeber$b Cornelius$4oth
702   $aElshaw$b Mark$4oth
702   $aMichael Mayer$b Norbert$4oth
712 02$aInstitute for New Technologies (Maastricht, Netherlands)
906   $aBOOK
912   $a9910138302103321
996   $aReinforcement Learning$93027307
997   $aUNINA