|
|
|
|
LEADER |
00000nam a22000005i 4500 |
001 |
978-3-642-29946-9 |
003 |
DE-He213 |
005 |
20221012194117.0 |
007 |
cr nn 008mamaa |
008 |
120518s2012 gw | s |||| 0|eng d |
020 |
|
|
|a 9783642299469
|9 978-3-642-29946-9
|
024 |
7 |
|
|a 10.1007/978-3-642-29946-9
|2 doi
|
050 |
|
4 |
|a Q334-342
|
050 |
|
4 |
|a TA347.A78
|
072 |
|
7 |
|a UYQ
|2 bicssc
|
072 |
|
7 |
|a COM004000
|2 bisacsh
|
072 |
|
7 |
|a UYQ
|2 thema
|
082 |
0 |
4 |
|a 006.3
|2 23
|
245 |
1 |
0 |
|a Recent Advances in Reinforcement Learning
|h [electronic resource] :
|b 9th European Workshop, EWRL 2011, Athens, Greece, September 9-11, 2011, Revised and Selected Papers /
|c edited by Scott Sanner, Marcus Hutter.
|
250 |
|
|
|a 1st ed. 2012.
|
264 |
|
1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2012.
|
300 |
|
|
|a XIII, 345 p. 98 illus.
|b online resource.
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
347 |
|
|
|a text file
|b PDF
|2 rda
|
490 |
1 |
|
|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 7188
|
520 |
|
|
|a This book constitutes revised and selected papers of the 9th European Workshop on Reinforcement Learning, EWRL 2011, which took place in Athens, Greece in September 2011. The papers presented were carefully reviewed and selected from 40 submissions. The papers are organized in topical sections online reinforcement learning, learning and exploring MDPs, function approximation methods for reinforcement learning, macro-actions in reinforcement learning, policy search and bounds, multi-task and transfer reinforcement learning, multi-agent reinforcement learning, apprenticeship and inverse reinforcement learning and real-world reinforcement learning.
|
650 |
|
0 |
|a Artificial intelligence.
|
650 |
|
0 |
|a Computer science.
|
650 |
|
0 |
|a Algorithms.
|
650 |
|
0 |
|a Application software.
|
650 |
|
0 |
|a Database management.
|
650 |
|
0 |
|a Computer science-Mathematics.
|
650 |
|
0 |
|a Mathematical statistics.
|
650 |
1 |
4 |
|a Artificial Intelligence.
|
650 |
2 |
4 |
|a Theory of Computation.
|
650 |
2 |
4 |
|a Algorithms.
|
650 |
2 |
4 |
|a Computer and Information Systems Applications.
|
650 |
2 |
4 |
|a Database Management.
|
650 |
2 |
4 |
|a Probability and Statistics in Computer Science.
|
700 |
1 |
|
|a Sanner, Scott.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
700 |
1 |
|
|a Hutter, Marcus.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
710 |
2 |
|
|a SpringerLink (Online service)
|
773 |
0 |
|
|t Springer Nature eBook
|
776 |
0 |
8 |
|i Printed edition:
|z 9783642299476
|
776 |
0 |
8 |
|i Printed edition:
|z 9783642299452
|
830 |
|
0 |
|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 7188
|
856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/978-3-642-29946-9
|z Texto Completo
|
912 |
|
|
|a ZDB-2-SCS
|
912 |
|
|
|a ZDB-2-SXCS
|
912 |
|
|
|a ZDB-2-LNC
|
950 |
|
|
|a Computer Science (SpringerNature-11645)
|
950 |
|
|
|a Computer Science (R0) (SpringerNature-43710)
|