Einstieg in Deep Reinforcement Learning: KI-Agenten mit Python und PyTorch programmieren
Gespeichert in:
Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | German English |
Veröffentlicht: |
München
Hanser
[2020]
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Schlagworte: | |
Online-Zugang: | BHS01 BTU01 FAB01 FAN01 FAW01 FAW02 FCO01 FHA01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FNU01 FRO01 FWS01 FWS02 HTW01 TUM01 UBR01 UBT01 UBW01 UBY01 UER01 FHD01 Volltext |
Beschreibung: | Auf dem Cover: "GitHub-Repository zum Buch" |
Beschreibung: | 1 Online-Ressource (XV, 382 Seiten) Illustrationen, Diagramme |
ISBN: | 9783446466081 |
DOI: | 10.3139/9783446466081 |
Internformat
MARC
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Datensatz im Suchindex
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author | Zai, Alex Brown, Brandon |
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author_facet | Zai, Alex Brown, Brandon |
author_role | aut aut |
author_sort | Zai, Alex |
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building | Verbundindex |
bvnumber | BV046967744 |
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dewey-full | 006.31 005.133 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods 005 - Computer programming, programs, data, security |
dewey-raw | 006.31 005.133 |
dewey-search | 006.31 005.133 |
dewey-sort | 16.31 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
discipline_str_mv | Informatik |
doi_str_mv | 10.3139/9783446466081 |
format | Electronic eBook |
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id | DE-604.BV046967744 |
illustrated | Not Illustrated |
index_date | 2024-07-03T15:46:14Z |
indexdate | 2024-08-01T15:46:36Z |
institution | BVB |
isbn | 9783446466081 |
language | German English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032375972 |
oclc_num | 1220917824 |
open_access_boolean | |
owner | DE-703 DE-29 DE-Aug4 DE-1043 DE-1046 DE-1047 DE-858 DE-573 DE-860 DE-M347 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-1102 DE-B768 DE-706 DE-92 DE-523 DE-20 DE-898 DE-BY-UBR DE-91 DE-BY-TUM DE-634 DE-1049 DE-861 DE-859 DE-355 DE-BY-UBR DE-83 DE-11 DE-1050 |
owner_facet | DE-703 DE-29 DE-Aug4 DE-1043 DE-1046 DE-1047 DE-858 DE-573 DE-860 DE-M347 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-1102 DE-B768 DE-706 DE-92 DE-523 DE-20 DE-898 DE-BY-UBR DE-91 DE-BY-TUM DE-634 DE-1049 DE-861 DE-859 DE-355 DE-BY-UBR DE-83 DE-11 DE-1050 |
physical | 1 Online-Ressource (XV, 382 Seiten) Illustrationen, Diagramme |
psigel | ZDB-16-HEB ZDB-16-HET ZDB-16-HET20 ZDB-16-HEB BTU_Kauf ZDB-16-HEB FAB_PDA_HEB ZDB-16-HEB FAN_PDA_HEB ZDB-16-HEB FAW_PDA_HEB ZDB-16-HEB FCO_PDA_HEB_Kauf ZDB-16-HEB FHA_PDA_HEB ZDB-16-HET FHR_ZDB-16-HET20 ZDB-16-HEB FKE_PDA_HEB ZDB-16-HEB FLA_PDA_HEB ZDB-16-HEB FRO_PDA_HEB ZDB-16-HET ZDB-16-HET20 ZDB-16-HET TUM_Paketkauf ZDB-16-HEB UBR Einzelkauf 2021 ZDB-16-HET UBW_Paketkauf ZDB-16-HEB FHD_PDA_HEB |
publishDate | 2020 |
publishDateSearch | 2020 |
publishDateSort | 2020 |
publisher | Hanser |
record_format | marc |
spellingShingle | Zai, Alex Brown, Brandon Einstieg in Deep Reinforcement Learning KI-Agenten mit Python und PyTorch programmieren Bestärkendes Lernen Künstliche Intelligenz (DE-588)4825546-4 gnd PyTorch (DE-588)1202487386 gnd Mehragentensystem (DE-588)4389058-1 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Agent Informatik (DE-588)4455835-1 gnd Operante Konditionierung (DE-588)4172613-3 gnd Deep learning (DE-588)1135597375 gnd Neuronales Netz (DE-588)4226127-2 gnd Python Programmiersprache (DE-588)4434275-5 gnd |
subject_GND | (DE-588)4825546-4 (DE-588)1202487386 (DE-588)4389058-1 (DE-588)4193754-5 (DE-588)4455835-1 (DE-588)4172613-3 (DE-588)1135597375 (DE-588)4226127-2 (DE-588)4434275-5 |
title | Einstieg in Deep Reinforcement Learning KI-Agenten mit Python und PyTorch programmieren |
title_alt | Deep Reinforcement Learning in Action |
title_auth | Einstieg in Deep Reinforcement Learning KI-Agenten mit Python und PyTorch programmieren |
title_exact_search | Einstieg in Deep Reinforcement Learning KI-Agenten mit Python und PyTorch programmieren |
title_exact_search_txtP | Einstieg in Deep Reinforcement Learning KI-Agenten mit Python und PyTorch programmieren |
title_full | Einstieg in Deep Reinforcement Learning KI-Agenten mit Python und PyTorch programmieren Alexander Zai, Brandon Brown |
title_fullStr | Einstieg in Deep Reinforcement Learning KI-Agenten mit Python und PyTorch programmieren Alexander Zai, Brandon Brown |
title_full_unstemmed | Einstieg in Deep Reinforcement Learning KI-Agenten mit Python und PyTorch programmieren Alexander Zai, Brandon Brown |
title_short | Einstieg in Deep Reinforcement Learning |
title_sort | einstieg in deep reinforcement learning ki agenten mit python und pytorch programmieren |
title_sub | KI-Agenten mit Python und PyTorch programmieren |
topic | Bestärkendes Lernen Künstliche Intelligenz (DE-588)4825546-4 gnd PyTorch (DE-588)1202487386 gnd Mehragentensystem (DE-588)4389058-1 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Agent Informatik (DE-588)4455835-1 gnd Operante Konditionierung (DE-588)4172613-3 gnd Deep learning (DE-588)1135597375 gnd Neuronales Netz (DE-588)4226127-2 gnd Python Programmiersprache (DE-588)4434275-5 gnd |
topic_facet | Bestärkendes Lernen Künstliche Intelligenz PyTorch Mehragentensystem Maschinelles Lernen Agent Informatik Operante Konditionierung Deep learning Neuronales Netz Python Programmiersprache |
url | https://doi.org/10.3139/9783446466081 |
work_keys_str_mv | AT zaialex deepreinforcementlearninginaction AT brownbrandon deepreinforcementlearninginaction AT zaialex einstiegindeepreinforcementlearningkiagentenmitpythonundpytorchprogrammieren AT brownbrandon einstiegindeepreinforcementlearningkiagentenmitpythonundpytorchprogrammieren |