Pytorch 1.x reinforcement learning cookbook;over 60 recipes to design, develop, and deploy self-learning ai models using python:
This book presents practical solutions to the most common reinforcement learning problems. The recipes in this book will help you understand the fundamental concepts to develop popular RL algorithms. You will gain practical experience in the RL domain using the modern offerings of the PyTorch 1.x li...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
[Place of publication not identified]
PACKT Publishing,
2019.
|
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | This book presents practical solutions to the most common reinforcement learning problems. The recipes in this book will help you understand the fundamental concepts to develop popular RL algorithms. You will gain practical experience in the RL domain using the modern offerings of the PyTorch 1.x library. |
| Beschreibung: | 1 online resource |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 1838553231 9781838553234 1838551964 9781838551964 |
Internformat
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| contents | PyTorch 1.x Reinforcement Learning Cookbook: over 60 recipes to design, develop, and deploy self-learning AI models using Python -- Contributors -- Table of Contents -- Preface -- 1. Getting Started with Reinforcement Learning and PyTorch -- 2. Markov Decision Processes and Dynamic Programming -- 3. Monte Carlo Methods for Making Numerical Estimations -- 4. Temporal Difference and Q-Learning -- 5. Solving Multi-armed Bandit Problems -- 6. Scaling Up Learning with Function Approximation -- 7. Deep Q-Networks in Action -- 8. Implementing Policy Gradients and Policy Optimization -- 9. Capstone Project -- Playing Flappy Bird with DQN -- Other Books You May Enjoy -- Index. |
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| id | ZDB-4-EBA-on1126310113 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:25:50Z |
| institution | BVB |
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| language | English |
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| spelling | Liu, Yuxi (Hayden) Pytorch 1.x reinforcement learning cookbook;over 60 recipes to design, develop, and deploy self-learning ai models using python [Place of publication not identified] PACKT Publishing, 2019. 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier This book presents practical solutions to the most common reinforcement learning problems. The recipes in this book will help you understand the fundamental concepts to develop popular RL algorithms. You will gain practical experience in the RL domain using the modern offerings of the PyTorch 1.x library. PyTorch 1.x Reinforcement Learning Cookbook: over 60 recipes to design, develop, and deploy self-learning AI models using Python -- Contributors -- Table of Contents -- Preface -- 1. Getting Started with Reinforcement Learning and PyTorch -- 2. Markov Decision Processes and Dynamic Programming -- 3. Monte Carlo Methods for Making Numerical Estimations -- 4. Temporal Difference and Q-Learning -- 5. Solving Multi-armed Bandit Problems -- 6. Scaling Up Learning with Function Approximation -- 7. Deep Q-Networks in Action -- 8. Implementing Policy Gradients and Policy Optimization -- 9. Capstone Project -- Playing Flappy Bird with DQN -- Other Books You May Enjoy -- Index. Includes bibliographical references and index. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Natural language processing (Computer science) http://id.loc.gov/authorities/subjects/sh88002425 Natural Language Processing https://id.nlm.nih.gov/mesh/D009323 Python (Langage de programmation) Traitement automatique des langues naturelles. Mathematical theory of computation. bicssc Machine learning. bicssc Neural networks & fuzzy systems. bicssc Programming & scripting languages: general. bicssc Computers Machine Theory. bisacsh Computers Neural Networks. bisacsh Computers Programming Languages Python. bisacsh Natural language processing (Computer science) fast Python (Computer program language) fast has work: PyTorch 1.x reinforcement learning cookbook (Text) https://id.oclc.org/worldcat/entity/E39PCGJFQgVwRprPxxHjtMCd43 https://id.oclc.org/worldcat/ontology/hasWork Print version: Liu, Yuxi (Hayden). PyTorch 1. x Reinforcement Learning Cookbook : Over 60 Recipes to Design, Develop, and Deploy Self-Learning AI Models Using Python. Birmingham : Packt Publishing, Limited, ©2019 9781838551964 |
| spellingShingle | Liu, Yuxi (Hayden) Pytorch 1.x reinforcement learning cookbook;over 60 recipes to design, develop, and deploy self-learning ai models using python PyTorch 1.x Reinforcement Learning Cookbook: over 60 recipes to design, develop, and deploy self-learning AI models using Python -- Contributors -- Table of Contents -- Preface -- 1. Getting Started with Reinforcement Learning and PyTorch -- 2. Markov Decision Processes and Dynamic Programming -- 3. Monte Carlo Methods for Making Numerical Estimations -- 4. Temporal Difference and Q-Learning -- 5. Solving Multi-armed Bandit Problems -- 6. Scaling Up Learning with Function Approximation -- 7. Deep Q-Networks in Action -- 8. Implementing Policy Gradients and Policy Optimization -- 9. Capstone Project -- Playing Flappy Bird with DQN -- Other Books You May Enjoy -- Index. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Natural language processing (Computer science) http://id.loc.gov/authorities/subjects/sh88002425 Natural Language Processing https://id.nlm.nih.gov/mesh/D009323 Python (Langage de programmation) Traitement automatique des langues naturelles. Mathematical theory of computation. bicssc Machine learning. bicssc Neural networks & fuzzy systems. bicssc Programming & scripting languages: general. bicssc Computers Machine Theory. bisacsh Computers Neural Networks. bisacsh Computers Programming Languages Python. bisacsh Natural language processing (Computer science) fast Python (Computer program language) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh96008834 http://id.loc.gov/authorities/subjects/sh88002425 https://id.nlm.nih.gov/mesh/D009323 |
| title | Pytorch 1.x reinforcement learning cookbook;over 60 recipes to design, develop, and deploy self-learning ai models using python |
| title_auth | Pytorch 1.x reinforcement learning cookbook;over 60 recipes to design, develop, and deploy self-learning ai models using python |
| title_exact_search | Pytorch 1.x reinforcement learning cookbook;over 60 recipes to design, develop, and deploy self-learning ai models using python |
| title_full | Pytorch 1.x reinforcement learning cookbook;over 60 recipes to design, develop, and deploy self-learning ai models using python |
| title_fullStr | Pytorch 1.x reinforcement learning cookbook;over 60 recipes to design, develop, and deploy self-learning ai models using python |
| title_full_unstemmed | Pytorch 1.x reinforcement learning cookbook;over 60 recipes to design, develop, and deploy self-learning ai models using python |
| title_short | Pytorch 1.x reinforcement learning cookbook;over 60 recipes to design, develop, and deploy self-learning ai models using python |
| title_sort | pytorch 1 x reinforcement learning cookbook over 60 recipes to design develop and deploy self learning ai models using python |
| topic | Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Natural language processing (Computer science) http://id.loc.gov/authorities/subjects/sh88002425 Natural Language Processing https://id.nlm.nih.gov/mesh/D009323 Python (Langage de programmation) Traitement automatique des langues naturelles. Mathematical theory of computation. bicssc Machine learning. bicssc Neural networks & fuzzy systems. bicssc Programming & scripting languages: general. bicssc Computers Machine Theory. bisacsh Computers Neural Networks. bisacsh Computers Programming Languages Python. bisacsh Natural language processing (Computer science) fast Python (Computer program language) fast |
| topic_facet | Python (Computer program language) Natural language processing (Computer science) Natural Language Processing Python (Langage de programmation) Traitement automatique des langues naturelles. Mathematical theory of computation. Machine learning. Neural networks & fuzzy systems. Programming & scripting languages: general. Computers Machine Theory. Computers Neural Networks. Computers Programming Languages Python. |
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