Cargando…
Reinforcement learning : with Open AI, TensorFlow and Keras using Python /
Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You'll then work with theories related to reinforcement learning and see the concepts that bui...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[Berkeley, CA] :
Apress,
[2018]
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | OR_on1015215006 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 171211s2018 cau ob 001 0 eng d | ||
| 040 | |a N$T |b eng |e rda |e pn |c N$T |d GW5XE |d N$T |d YDX |d EBLCP |d OCLCF |d UAB |d UMI |d AZU |d UPM |d STF |d OCLCQ |d COO |d OCLCQ |d U3W |d TOH |d SNK |d K6U |d OCLCQ |d CEF |d KSU |d VT2 |d OCLCQ |d DEBBG |d D6H |d WYU |d G3B |d LVT |d S9I |d C6I |d UKMGB |d OCLCQ |d IDB |d CAUOI |d AUD |d MERUC |d MERER |d LIV |d LEAUB |d OCLCQ |d ESU |d AU@ |d OCLCQ |d OCLCO |d LQU |d FVL |d OCLCQ |d OCLCO |d OCLCQ | ||
| 016 | 7 | |a 019140124 |2 Uk | |
| 019 | |a 1015815054 |a 1020493929 |a 1021201562 |a 1032278991 |a 1048183320 |a 1066444041 |a 1066478747 |a 1081191900 |a 1086451730 |a 1103270103 |a 1105191842 |a 1105710469 | ||
| 020 | |a 9781484232859 |q (electronic bk.) | ||
| 020 | |a 1484232852 |q (electronic bk.) | ||
| 020 | |z 9781484232842 |q (print) | ||
| 020 | |z 1484232844 | ||
| 024 | 7 | |a 10.1007/978-1-4842-3285-9 |2 doi | |
| 024 | 8 | |a 10.1007/978-1-4842-3 | |
| 027 | |a SPRINTER | ||
| 029 | 1 | |a AU@ |b 000067504104 | |
| 029 | 1 | |a CHNEW |b 001069470 | |
| 029 | 1 | |a CHVBK |b 577487043 | |
| 029 | 1 | |a GBVCP |b 1014936233 | |
| 029 | 1 | |a UKMGB |b 019140124 | |
| 035 | |a (OCoLC)1015215006 |z (OCoLC)1015815054 |z (OCoLC)1020493929 |z (OCoLC)1021201562 |z (OCoLC)1032278991 |z (OCoLC)1048183320 |z (OCoLC)1066444041 |z (OCoLC)1066478747 |z (OCoLC)1081191900 |z (OCoLC)1086451730 |z (OCoLC)1103270103 |z (OCoLC)1105191842 |z (OCoLC)1105710469 | ||
| 037 | |a CL0500000933 |b Safari Books Online | ||
| 050 | 4 | |a Q325.6 | |
| 072 | 7 | |a COM |x 000000 |2 bisacsh | |
| 072 | 7 | |a UMA |2 bicssc | |
| 082 | 0 | 4 | |a 006.3/1 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Nandy, Abhishek, |e author. | |
| 245 | 1 | 0 | |a Reinforcement learning : |b with Open AI, TensorFlow and Keras using Python / |c Abhishek Nandy, Manisha Biswas. |
| 264 | 1 | |a [Berkeley, CA] : |b Apress, |c [2018] | |
| 264 | 4 | |c Ã2018 | |
| 300 | |a 1 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 | ||
| 347 | |b PDF | ||
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed December 20, 2017). | |
| 505 | 0 | |a Chapter 1: Reinforcement Learning basics -- Chapter 2: Theory and Algorithms -- Chapter 3: Open AI basics -- Chapter 4: Getting to know Open AI and Open AI Gym the developers way -- Chapter 5: Reinforcement learning using Tensor Flow environment and Keras -- Chapter 6 Google's DeepMind and the future of Reinforcement Learning. | |
| 520 | |a Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You'll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement learning process. Reinforcement Learning discusses algorithm implementations important for reinforcement learning, including Markov's Decision process and Semi Markov Decision process. The next section shows you how to get started with Open AI before looking at Open AI Gym. You'll then learn about Swarm Intelligence with Python in terms of reinforcement learning. The last part of the book starts with the TensorFlow environment and gives an outline of how reinforcement learning can be applied to TensorFlow. There's also coverage of Keras, a framework that can be used with reinforcement learning. Finally, you'll delve into Google's Deep Mind and see scenarios where reinforcement learning can be used. You will: Absorb the core concepts of the reinforcement learning process Use advanced topics of deep learning and AI Work with Open AI Gym, Open AI, and Python Harness reinforcement learning with TensorFlow and Keras using Python. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Reinforcement learning. | |
| 650 | 6 | |a Apprentissage par renforcement (Intelligence artificielle) | |
| 650 | 7 | |a Programming & scripting languages: general. |2 bicssc | |
| 650 | 7 | |a Artificial intelligence. |2 bicssc | |
| 650 | 7 | |a COMPUTERS |x General. |2 bisacsh | |
| 650 | 7 | |a Reinforcement learning. |2 fast |0 (OCoLC)fst01732553 | |
| 700 | 1 | |a Biswas, Manisha, |e author. | |
| 776 | 0 | 8 | |i Print version: |a Nandy, Abhishek. |t Reinforcement learning. |d [Berkeley, CA] : Apress, [2018] |z 1484232844 |z 9781484232842 |w (OCoLC)1005197857 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781484232859/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL5191348 | ||
| 938 | |a EBSCOhost |b EBSC |n 1651811 | ||
| 938 | |a YBP Library Services |b YANK |n 15036158 | ||
| 994 | |a 92 |b IZTAP | ||