Deep reinforcement learning with Python: master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Birmingham ; Mumbai
Packt
September 2020
|
| Ausgabe: | Second edition |
| Schriftenreihe: | Expert insight
|
| Schlagworte: | |
| Beschreibung: | xxi, 730 Seiten Illustrationen, Diagramme |
| ISBN: | 9781839210686 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV046944207 | ||
| 003 | DE-604 | ||
| 005 | 20201117 | ||
| 007 | t | ||
| 008 | 201016s2020 a||| |||| 00||| eng d | ||
| 020 | |a 9781839210686 |c pbk |9 978-1-83921-068-6 | ||
| 035 | |a (OCoLC)1224007912 | ||
| 035 | |a (DE-599)BVBBV046944207 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-29T |a DE-898 |a DE-858 | ||
| 084 | |a ST 300 |0 (DE-625)143650: |2 rvk | ||
| 084 | |a ST 250 |0 (DE-625)143626: |2 rvk | ||
| 100 | 1 | |a Ravichandiran, Sudharsan |e Verfasser |0 (DE-588)1200646339 |4 aut | |
| 245 | 1 | 0 | |a Deep reinforcement learning with Python |b master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow |c Sudharsan Ravichandiran |
| 250 | |a Second edition | ||
| 264 | 1 | |a Birmingham ; Mumbai |b Packt |c September 2020 | |
| 300 | |a xxi, 730 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Expert insight | |
| 650 | 0 | 7 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Operante Konditionierung |0 (DE-588)4172613-3 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a TensorFlow |0 (DE-588)1153577011 |2 gnd |9 rswk-swf |
| 653 | 0 | |a Python (Computer program language) | |
| 653 | 0 | |a Reinforcement learning | |
| 653 | 0 | |a Python (Computer program language) | |
| 653 | 0 | |a Reinforcement learning | |
| 689 | 0 | 0 | |a Operante Konditionierung |0 (DE-588)4172613-3 |D s |
| 689 | 0 | 1 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |D s |
| 689 | 0 | |5 DE-604 | |
| 689 | 1 | 0 | |a TensorFlow |0 (DE-588)1153577011 |D s |
| 689 | 1 | |5 DE-604 | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032352874 | ||
Datensatz im Suchindex
| _version_ | 1804181850117111808 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Ravichandiran, Sudharsan |
| author_GND | (DE-588)1200646339 |
| author_facet | Ravichandiran, Sudharsan |
| author_role | aut |
| author_sort | Ravichandiran, Sudharsan |
| author_variant | s r sr |
| building | Verbundindex |
| bvnumber | BV046944207 |
| classification_rvk | ST 300 ST 250 |
| ctrlnum | (OCoLC)1224007912 (DE-599)BVBBV046944207 |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| edition | Second edition |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01674nam a2200445 c 4500</leader><controlfield tag="001">BV046944207</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20201117 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">201016s2020 a||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781839210686</subfield><subfield code="c">pbk</subfield><subfield code="9">978-1-83921-068-6</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1224007912</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV046944207</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-29T</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-858</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 300</subfield><subfield code="0">(DE-625)143650:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 250</subfield><subfield code="0">(DE-625)143626:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Ravichandiran, Sudharsan</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1200646339</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Deep reinforcement learning with Python</subfield><subfield code="b">master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow</subfield><subfield code="c">Sudharsan Ravichandiran</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Second edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham ; Mumbai</subfield><subfield code="b">Packt</subfield><subfield code="c">September 2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xxi, 730 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Expert insight</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Operante Konditionierung</subfield><subfield code="0">(DE-588)4172613-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">TensorFlow</subfield><subfield code="0">(DE-588)1153577011</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Reinforcement learning</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Reinforcement learning</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Operante Konditionierung</subfield><subfield code="0">(DE-588)4172613-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">TensorFlow</subfield><subfield code="0">(DE-588)1153577011</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032352874</subfield></datafield></record></collection> |
| id | DE-604.BV046944207 |
| illustrated | Illustrated |
| index_date | 2024-07-03T15:38:51Z |
| indexdate | 2024-07-10T08:58:12Z |
| institution | BVB |
| isbn | 9781839210686 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032352874 |
| oclc_num | 1224007912 |
| open_access_boolean | |
| owner | DE-29T DE-898 DE-BY-UBR DE-858 |
| owner_facet | DE-29T DE-898 DE-BY-UBR DE-858 |
| physical | xxi, 730 Seiten Illustrationen, Diagramme |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Packt |
| record_format | marc |
| series2 | Expert insight |
| spelling | Ravichandiran, Sudharsan Verfasser (DE-588)1200646339 aut Deep reinforcement learning with Python master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow Sudharsan Ravichandiran Second edition Birmingham ; Mumbai Packt September 2020 xxi, 730 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Expert insight Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf Operante Konditionierung (DE-588)4172613-3 gnd rswk-swf TensorFlow (DE-588)1153577011 gnd rswk-swf Python (Computer program language) Reinforcement learning Operante Konditionierung (DE-588)4172613-3 s Python Programmiersprache (DE-588)4434275-5 s DE-604 TensorFlow (DE-588)1153577011 s |
| spellingShingle | Ravichandiran, Sudharsan Deep reinforcement learning with Python master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow Python Programmiersprache (DE-588)4434275-5 gnd Operante Konditionierung (DE-588)4172613-3 gnd TensorFlow (DE-588)1153577011 gnd |
| subject_GND | (DE-588)4434275-5 (DE-588)4172613-3 (DE-588)1153577011 |
| title | Deep reinforcement learning with Python master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow |
| title_auth | Deep reinforcement learning with Python master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow |
| title_exact_search | Deep reinforcement learning with Python master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow |
| title_exact_search_txtP | Deep reinforcement learning with Python master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow |
| title_full | Deep reinforcement learning with Python master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow Sudharsan Ravichandiran |
| title_fullStr | Deep reinforcement learning with Python master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow Sudharsan Ravichandiran |
| title_full_unstemmed | Deep reinforcement learning with Python master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow Sudharsan Ravichandiran |
| title_short | Deep reinforcement learning with Python |
| title_sort | deep reinforcement learning with python master classic rl deep rl distributional rl inverse rl and more with openai gym and tensorflow |
| title_sub | master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow |
| topic | Python Programmiersprache (DE-588)4434275-5 gnd Operante Konditionierung (DE-588)4172613-3 gnd TensorFlow (DE-588)1153577011 gnd |
| topic_facet | Python Programmiersprache Operante Konditionierung TensorFlow |
| work_keys_str_mv | AT ravichandiransudharsan deepreinforcementlearningwithpythonmasterclassicrldeeprldistributionalrlinverserlandmorewithopenaigymandtensorflow |