Description: Further DetailsTitle: Hands-On Reinforcement Learning with PythonCondition: NewRelease Date: 04/02/2023Format: DigitalEAN: 9781788836524ISBN: 9781788836524Publisher: Packt Publishing LimitedDescription: A hands-on guide enriched with examples to master deep reinforcement learning algorithms with PythonAbout This Book• Your entry point into the world of artificial intelligence using the power of Python• An example-rich guide to master various RL and DRL algorithms• Explore various state-of-the-art architectures along with mathWho This Book Is ForIf you're a machine learning developer or deep learning enthusiast interested in artificial intelligence and want to learn about reinforcement learning from scratch, this book is for you. Some knowledge of linear algebra, calculus, and the Python programming language will help you understand the concepts covered in this book.What You Will Learn• Understand the basics of reinforcement learning methods, algorithms, and elements• Train an agent to walk using OpenAI Gym and Tensorflow• Understand the Markov Decision Process, Bellman's optimality, and TD learning• Solve multi-armed-bandit problems using various algorithms• Master deep learning algorithms, such as RNN, LSTM, and CNN with applications• Build intelligent agents using the DRQN algorithm to play the Doom game• Teach agents to play the Lunar Lander game using DDPG• Train an agent to win a car racing game using dueling DQNIn DetailReinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. Hands-On Reinforcement learning with Python will help you master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms.The book starts with an introduction to Reinforcement Learning followed by OpenAI Gym, and TensorFlow. You will then explore various RL algorithms and concepts, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration. This example-rich guide will introduce you to deep reinforcement learning algorithms, such as Dueling DQN, DRQN, A3C, PPO, and TRPO. You will also learn about imagination-augmented agents, learning from human preference, DQfD, HER, and many more of the recent advancements in reinforcement learning.By the end of the book, you will have all the knowledge and experience needed to implement reinforcement learning and deep reinforcement learning in your projects, and you will be all set to enter the world of artificial intelligence.Style and approachThis is a hands-on book designed to further expand your machine learning skills by understanding reinforcement to deep reinforcement learning algorithms with applications in Python.Language: EnglishCountry/Region of Manufacture: GBAuthor: Sudharsan RavichandiranGenre: Computing & InternetRelease Year: 2023 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Release Date: 04/02/2023
Release Year: 2023
Book Title: Hands-On Reinforcement Learning with Python
Title: Hands-On Reinforcement Learning with Python
EAN: 9781788836524
ISBN: 9781788836524
Country/Region of Manufacture: GB
Genre: Computing & Internet
Number of Pages: 318 Pages
Language: English
Publication Name: Hands-On Reinforcement Learning with Python : Master Reinforcement and Deep Reinforcement Learning Using OpenAI Gym and TensorFlow
Publisher: Packt Publishing, The Limited
Subject: Intelligence (Ai) & Semantics, Neural Networks, Programming Languages / Python, Social Aspects / Human-Computer Interaction
Publication Year: 2018
Type: Textbook
Subject Area: Computers
Item Length: 3.6 in
Author: Sudharsan Ravichandiran
Item Width: 3 in
Format: Trade Paperback
