Compare Prices | Create Shopping Lists with Price Drop Alerts | Set Coupons, Promo Codes & Sales Alerts | Get Access to Exclusive Deals and Much More... All in One Place | Read all about it here

Deep Reinforcement Learning in Unity

Deep Reinforcement Learning in Unity

Brand
Springer Nature
Manufacturer
N/A
Part Number
0
GTIN
9781484265031
Condition
New
Product Description

Gain an in-depth overview of reinforcement learning for autonomous agents in game development with Unity. This book starts with an introduction to state-based reinforcement learning algorithms involving Markov models, Bellman equations, and writing custom C# code with the aim of contrasting value and policy-based functions in reinforcement learning. Then, you will move on to path finding and navigation meshes in Unity, setting up the ML Agents Toolkit (including how to install and set up ML agents from the GitHub repository), and installing fundamental machine learning libraries and frameworks (such as Tensorflow). You will learn about: deep learning and work through an introduction to Tensorflow for writing neural networks (including perceptron, convolution, and LSTM networks), Q learning with Unity ML agents, and porting trained neural network models in Unity through the Python-C# API. You will also explore the OpenAI Gym Environment used throughout the book. Deep Reinforcement Learning in Unity provides a walk-through of the core fundamentals of deep reinforcement learning algorithms, especially variants of the value estimation, advantage, and policy gradient algorithms (including the differences between on and off policy algorithms in reinforcement learning). These core algorithms include actor critic, proximal policy, and deep deterministic policy gradients and its variants. And you will be able to write custom neural networks using the Tensorflow and Keras frameworks. Deep learning in games makes the agents learn how they can perform better and collect their rewards in adverse environments without user interference. The book provides a thorough overview of integrating ML Agents with Unity for deep reinforcement learning. What You Will Learn Understand how deep reinforcement learning works in games Grasp the fundamentals of deep reinforcement learning Integrate these fundamentals with the Unity ML Toolkit SDK Gain insights into practical neural networks for training Agent Brain in the context of Unity ML Agents Create different models and perform hyper-parameter tuning Understand the Brain-Academy architecture in Unity ML Agents Understand the Python-C# API interface during real-time training of neural networks Grasp the fundamentals of generic neural networks and their variants using Tensorflow Create simulations and visualize agents playing games in Unity Who This Book Is For Readers with preliminary programming and game development experience in Unity, and those with experience in Python and a general idea of machine learning.

Available Colors
Available Sizes
1 Offer Price Range: $59.99 - $59.99
BEST PRICE

Single Product Purchase

$59.99
@ Link.springer.com     BUY Now

Price Comparison

Seller Contact Seller List Price On Sale Shipping Best Promo Final Price Volume Discount Financing Availability Seller's Page
BEST PRICE
1 Product Purchase
@ Link.springer.com
Contact Store Call Store Contact Support
$59.99 $59.99

$59.99
See Site In stock Visit Store

Similar Products

Mathematical Modelling and Nonstandard Schemes for the Corona Virus Pandemic

$69.99

Practical NATS

$69.99

Advances in Operations Research Education

$54.99

Proceedings of International Joint Conference on Advances in Computational Intelligence

$259.00

Der Entzndungsbegriff

$59.99

Practical Oncologic Molecular Pathology

$99.00

How Toddlers Learn the Secret Language of Movies

$89.00

Beautiful Shades of Brown

$6.71

Theory and Practice in Machining Systems

$169.99

Quantum Computing: An Applied Approach

$44.99

R. Edward Freemans Selected Works on Stakeholder Theory and Business Ethics

$119.99

Women and the Military in Europe

$54.99

Analyzing Discourse and Text Complexity for Learning and Collaborating

$109.99

Qualifizieren statt entlassen

$69.99

Branching Processes Applied to Cell Surface Aggregation Phenomena

$54.99

Gesundheitswissenschaften

$169.00

Templates in Chemistry III

$329.99

New Horizons of Muslim Diaspora in Europe and North America

$79.99

Handbuch Kundenmanagement

$169.99

Implementation and Application of Automata

$54.99

Finanzinstrumente im IFRS-Abschluss von Nicht-Banken

$89.00

Online Communities and Crowds in the Rise of the Five Star Movement

$54.99

New Technologies in Health Care

$109.99

Fascist Italy and the League of Nations, 1922-1935

$84.99

5-HT4 Receptors in the Brain and Periphery

$169.99

Practical Apache Spark

$59.99

Research and Innovation Forum 2021

$199.99

Absteckungstafeln fr Eisenbahn- und Strassenbau

$59.99

Koreri Messianic Movements in the Biak-Numfor Culture Area

$109.99

Emotionen, Sozialstruktur und Moderne

$69.99

After Integration

$54.99

Webster's Notebook Dictionary Classroom Set

$73.00

Technology, Innovation and Industrial Economics: Institutionalist Perspectives

$109.99

Pediatric Craniovertebral Junction Diseases

$169.99

Optimization with PDE Constraints

$159.99

Biochemical Roles of Eukaryotic Cell Surface Macromolecules

$169.99

Scheduling Computer and Manufacturing Processes

$169.99

Compliance-Industrial Complex

$49.99

Controlling, Rechnungswesen, Bankrechnen

$29.99

The Retina and Circadian Rhythms

$169.99