The Reinforcement Learning Workshop: Learn How to Apply Cutting-Edge Reinforcement Learning Algorithms to a Wide Range of Control Problems
With the help of practical examples and engaging activities, The Reinforcement Learning Workshop takes you through reinforcement learning's core techniques and frameworks. Following a hands-on approach, it allows you to learn reinforcement learning at your own pace to develop your own intellige...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , , , , , , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Birmingham
Packt Publishing, Limited
2020
|
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781800200456/?ar |
| Summary: | With the help of practical examples and engaging activities, The Reinforcement Learning Workshop takes you through reinforcement learning's core techniques and frameworks. Following a hands-on approach, it allows you to learn reinforcement learning at your own pace to develop your own intelligent applications with ease. |
| Item Description: | Description based upon print version of record. - Batch Normalization |
| Physical Description: | 1 Online-Ressource (821 Seiten) |
| ISBN: | 9781800209961 1800209967 9781800200456 |
Staff View
MARC
| LEADER | 00000cam a22000002c 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-056584091 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228121213.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 200916s2020 xx |||||o 00| ||eng c | ||
| 020 | |a 9781800209961 |9 978-1-80020-996-1 | ||
| 020 | |a 1800209967 |9 1-80020-996-7 | ||
| 020 | |a 9781800200456 |9 978-1-80020-045-6 | ||
| 035 | |a (DE-627-1)056584091 | ||
| 035 | |a (DE-599)KEP056584091 | ||
| 035 | |a (ORHE)9781800200456 | ||
| 035 | |a (DE-627-1)056584091 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a 006.31 |2 23 | |
| 100 | 1 | |a Palmas, Alessandro |e VerfasserIn |4 aut | |
| 245 | 1 | 4 | |a The Reinforcement Learning Workshop |b Learn How to Apply Cutting-Edge Reinforcement Learning Algorithms to a Wide Range of Control Problems |
| 264 | 1 | |a Birmingham |b Packt Publishing, Limited |c 2020 | |
| 300 | |a 1 Online-Ressource (821 Seiten) | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Description based upon print version of record. - Batch Normalization | ||
| 520 | |a With the help of practical examples and engaging activities, The Reinforcement Learning Workshop takes you through reinforcement learning's core techniques and frameworks. Following a hands-on approach, it allows you to learn reinforcement learning at your own pace to develop your own intelligent applications with ease. | ||
| 650 | 0 | |a Reinforcement learning | |
| 650 | 0 | |a Algorithms | |
| 650 | 2 | |a Algorithms | |
| 650 | 4 | |a Apprentissage par renforcement (Intelligence artificielle) | |
| 650 | 4 | |a Algorithmes | |
| 650 | 4 | |a algorithms | |
| 650 | 4 | |a Programming & scripting languages: general | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Neural networks & fuzzy systems | |
| 650 | 4 | |a Computers ; Intelligence (AI) & Semantics | |
| 650 | 4 | |a Computers ; Neural Networks | |
| 650 | 4 | |a Computers ; Programming Languages ; Python | |
| 650 | 4 | |a Algorithms | |
| 650 | 4 | |a Reinforcement learning | |
| 700 | 1 | |a Ghelfi, Emanuele |e MitwirkendeR |4 ctb | |
| 700 | 1 | |a Petre, Alexandra Galina |e MitwirkendeR |4 ctb | |
| 700 | 1 | |a Kulkarni, Mayur |e MitwirkendeR |4 ctb | |
| 700 | 1 | |a N.S., Anand |e MitwirkendeR |4 ctb | |
| 700 | 1 | |a Nguyen, Quan |e MitwirkendeR |4 ctb | |
| 700 | 1 | |a Sen, Aritra |e MitwirkendeR |4 ctb | |
| 700 | 1 | |a So, Anthony |e MitwirkendeR |4 ctb | |
| 700 | 1 | |a Basak, Saikat |e MitwirkendeR |4 ctb | |
| 776 | 1 | |z 9781800200456 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781800200456 |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781800200456/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Record in the Search Index
| DE-BY-TUM_katkey | ZDB-30-ORH-056584091 |
|---|---|
| _version_ | 1829007750553665536 |
| adam_text | |
| any_adam_object | |
| author | Palmas, Alessandro |
| author2 | Ghelfi, Emanuele Petre, Alexandra Galina Kulkarni, Mayur N.S., Anand Nguyen, Quan Sen, Aritra So, Anthony Basak, Saikat |
| author2_role | ctb ctb ctb ctb ctb ctb ctb ctb |
| author2_variant | e g eg a g p ag agp m k mk a n an q n qn a s as a s as s b sb |
| author_facet | Palmas, Alessandro Ghelfi, Emanuele Petre, Alexandra Galina Kulkarni, Mayur N.S., Anand Nguyen, Quan Sen, Aritra So, Anthony Basak, Saikat |
| author_role | aut |
| author_sort | Palmas, Alessandro |
| author_variant | a p ap |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)056584091 (DE-599)KEP056584091 (ORHE)9781800200456 |
| dewey-full | 006.31 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.31 |
| dewey-search | 006.31 |
| dewey-sort | 16.31 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02702cam a22006492c 4500</leader><controlfield tag="001">ZDB-30-ORH-056584091</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228121213.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">200916s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781800209961</subfield><subfield code="9">978-1-80020-996-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1800209967</subfield><subfield code="9">1-80020-996-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781800200456</subfield><subfield code="9">978-1-80020-045-6</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)056584091</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP056584091</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781800200456</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)056584091</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.31</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Palmas, Alessandro</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The Reinforcement Learning Workshop</subfield><subfield code="b">Learn How to Apply Cutting-Edge Reinforcement Learning Algorithms to a Wide Range of Control Problems</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham</subfield><subfield code="b">Packt Publishing, Limited</subfield><subfield code="c">2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (821 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Description based upon print version of record. - Batch Normalization</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">With the help of practical examples and engaging activities, The Reinforcement Learning Workshop takes you through reinforcement learning's core techniques and frameworks. Following a hands-on approach, it allows you to learn reinforcement learning at your own pace to develop your own intelligent applications with ease.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Reinforcement learning</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Algorithms</subfield></datafield><datafield tag="650" ind1=" " ind2="2"><subfield code="a">Algorithms</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Apprentissage par renforcement (Intelligence artificielle)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Algorithmes</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">algorithms</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Programming & scripting languages: general</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Neural networks & fuzzy systems</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computers ; Intelligence (AI) & Semantics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computers ; Neural Networks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computers ; Programming Languages ; Python</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Algorithms</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Reinforcement learning</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ghelfi, Emanuele</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Petre, Alexandra Galina</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kulkarni, Mayur</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">N.S., Anand</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Nguyen, Quan</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sen, Aritra</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">So, Anthony</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Basak, Saikat</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="776" ind1="1" ind2=" "><subfield code="z">9781800200456</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781800200456</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781800200456/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-056584091 |
| illustrated | Not Illustrated |
| indexdate | 2025-04-10T09:35:16Z |
| institution | BVB |
| isbn | 9781800209961 1800209967 9781800200456 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (821 Seiten) |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Packt Publishing, Limited |
| record_format | marc |
| spelling | Palmas, Alessandro VerfasserIn aut The Reinforcement Learning Workshop Learn How to Apply Cutting-Edge Reinforcement Learning Algorithms to a Wide Range of Control Problems Birmingham Packt Publishing, Limited 2020 1 Online-Ressource (821 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Description based upon print version of record. - Batch Normalization With the help of practical examples and engaging activities, The Reinforcement Learning Workshop takes you through reinforcement learning's core techniques and frameworks. Following a hands-on approach, it allows you to learn reinforcement learning at your own pace to develop your own intelligent applications with ease. Reinforcement learning Algorithms Apprentissage par renforcement (Intelligence artificielle) Algorithmes algorithms Programming & scripting languages: general Artificial intelligence Neural networks & fuzzy systems Computers ; Intelligence (AI) & Semantics Computers ; Neural Networks Computers ; Programming Languages ; Python Ghelfi, Emanuele MitwirkendeR ctb Petre, Alexandra Galina MitwirkendeR ctb Kulkarni, Mayur MitwirkendeR ctb N.S., Anand MitwirkendeR ctb Nguyen, Quan MitwirkendeR ctb Sen, Aritra MitwirkendeR ctb So, Anthony MitwirkendeR ctb Basak, Saikat MitwirkendeR ctb 9781800200456 Erscheint auch als Druck-Ausgabe 9781800200456 |
| spellingShingle | Palmas, Alessandro The Reinforcement Learning Workshop Learn How to Apply Cutting-Edge Reinforcement Learning Algorithms to a Wide Range of Control Problems Reinforcement learning Algorithms Apprentissage par renforcement (Intelligence artificielle) Algorithmes algorithms Programming & scripting languages: general Artificial intelligence Neural networks & fuzzy systems Computers ; Intelligence (AI) & Semantics Computers ; Neural Networks Computers ; Programming Languages ; Python |
| title | The Reinforcement Learning Workshop Learn How to Apply Cutting-Edge Reinforcement Learning Algorithms to a Wide Range of Control Problems |
| title_auth | The Reinforcement Learning Workshop Learn How to Apply Cutting-Edge Reinforcement Learning Algorithms to a Wide Range of Control Problems |
| title_exact_search | The Reinforcement Learning Workshop Learn How to Apply Cutting-Edge Reinforcement Learning Algorithms to a Wide Range of Control Problems |
| title_full | The Reinforcement Learning Workshop Learn How to Apply Cutting-Edge Reinforcement Learning Algorithms to a Wide Range of Control Problems |
| title_fullStr | The Reinforcement Learning Workshop Learn How to Apply Cutting-Edge Reinforcement Learning Algorithms to a Wide Range of Control Problems |
| title_full_unstemmed | The Reinforcement Learning Workshop Learn How to Apply Cutting-Edge Reinforcement Learning Algorithms to a Wide Range of Control Problems |
| title_short | The Reinforcement Learning Workshop |
| title_sort | reinforcement learning workshop learn how to apply cutting edge reinforcement learning algorithms to a wide range of control problems |
| title_sub | Learn How to Apply Cutting-Edge Reinforcement Learning Algorithms to a Wide Range of Control Problems |
| topic | Reinforcement learning Algorithms Apprentissage par renforcement (Intelligence artificielle) Algorithmes algorithms Programming & scripting languages: general Artificial intelligence Neural networks & fuzzy systems Computers ; Intelligence (AI) & Semantics Computers ; Neural Networks Computers ; Programming Languages ; Python |
| topic_facet | Reinforcement learning Algorithms Apprentissage par renforcement (Intelligence artificielle) Algorithmes algorithms Programming & scripting languages: general Artificial intelligence Neural networks & fuzzy systems Computers ; Intelligence (AI) & Semantics Computers ; Neural Networks Computers ; Programming Languages ; Python |
| work_keys_str_mv | AT palmasalessandro thereinforcementlearningworkshoplearnhowtoapplycuttingedgereinforcementlearningalgorithmstoawiderangeofcontrolproblems AT ghelfiemanuele thereinforcementlearningworkshoplearnhowtoapplycuttingedgereinforcementlearningalgorithmstoawiderangeofcontrolproblems AT petrealexandragalina thereinforcementlearningworkshoplearnhowtoapplycuttingedgereinforcementlearningalgorithmstoawiderangeofcontrolproblems AT kulkarnimayur thereinforcementlearningworkshoplearnhowtoapplycuttingedgereinforcementlearningalgorithmstoawiderangeofcontrolproblems AT nsanand thereinforcementlearningworkshoplearnhowtoapplycuttingedgereinforcementlearningalgorithmstoawiderangeofcontrolproblems AT nguyenquan thereinforcementlearningworkshoplearnhowtoapplycuttingedgereinforcementlearningalgorithmstoawiderangeofcontrolproblems AT senaritra thereinforcementlearningworkshoplearnhowtoapplycuttingedgereinforcementlearningalgorithmstoawiderangeofcontrolproblems AT soanthony thereinforcementlearningworkshoplearnhowtoapplycuttingedgereinforcementlearningalgorithmstoawiderangeofcontrolproblems AT basaksaikat thereinforcementlearningworkshoplearnhowtoapplycuttingedgereinforcementlearningalgorithmstoawiderangeofcontrolproblems AT palmasalessandro reinforcementlearningworkshoplearnhowtoapplycuttingedgereinforcementlearningalgorithmstoawiderangeofcontrolproblems AT ghelfiemanuele reinforcementlearningworkshoplearnhowtoapplycuttingedgereinforcementlearningalgorithmstoawiderangeofcontrolproblems AT petrealexandragalina reinforcementlearningworkshoplearnhowtoapplycuttingedgereinforcementlearningalgorithmstoawiderangeofcontrolproblems AT kulkarnimayur reinforcementlearningworkshoplearnhowtoapplycuttingedgereinforcementlearningalgorithmstoawiderangeofcontrolproblems AT nsanand reinforcementlearningworkshoplearnhowtoapplycuttingedgereinforcementlearningalgorithmstoawiderangeofcontrolproblems AT nguyenquan reinforcementlearningworkshoplearnhowtoapplycuttingedgereinforcementlearningalgorithmstoawiderangeofcontrolproblems AT senaritra reinforcementlearningworkshoplearnhowtoapplycuttingedgereinforcementlearningalgorithmstoawiderangeofcontrolproblems AT soanthony reinforcementlearningworkshoplearnhowtoapplycuttingedgereinforcementlearningalgorithmstoawiderangeofcontrolproblems AT basaksaikat reinforcementlearningworkshoplearnhowtoapplycuttingedgereinforcementlearningalgorithmstoawiderangeofcontrolproblems |