Hands-On Artificial Intelligence with Unreal Engine

Hands-On Artificial Intelligence with Unreal Engine

Author: Francesco Sapio

Publisher: Packt Publishing Ltd

Published: 2019-04-25

Total Pages: 537

ISBN-13: 1788831640

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Unreal Engine is a powerful game development engine that provides rich functionalities to create 2D and 3D games. If you want to use AI to extend the play-life of your games and make them more challenging and fun, this book is for you. It will help you break down AI into simple concepts to give you a fundamental understanding of each of the topics.


Book Synopsis Hands-On Artificial Intelligence with Unreal Engine by : Francesco Sapio

Download or read book Hands-On Artificial Intelligence with Unreal Engine written by Francesco Sapio and published by Packt Publishing Ltd. This book was released on 2019-04-25 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unreal Engine is a powerful game development engine that provides rich functionalities to create 2D and 3D games. If you want to use AI to extend the play-life of your games and make them more challenging and fun, this book is for you. It will help you break down AI into simple concepts to give you a fundamental understanding of each of the topics.


Unreal Engine 4 AI Programming Essentials

Unreal Engine 4 AI Programming Essentials

Author: Peter L. Newton

Publisher: Packt Publishing Ltd

Published: 2016-03-18

Total Pages: 188

ISBN-13: 1784396559

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Create responsive and intelligent game AI using Blueprints in Unreal Engine 4 About This Book Understand and apply your Game AI better through various projects such as adding randomness and probability, and introducing movement Configure and debug Game AI logic using multiple methodologies Bridge the gap between your knowledge and Game AI in Unreal Engine 4 Who This Book Is For This book is for programmers and artists who want to expand their knowledge of Game AI in relation to Unreal Engine 4. You are recommended to have some experience of exploring Unreal Engine 4 prior to this book because we jump straight into Game AI. What You Will Learn Understand the fundamental components of Game AI within Unreal Engine 4 Skillfully introduce Game AI within Unreal Engine 4 Configure, customize, and assign Navigation and AI components to your pawn Create, debug, and analyze Game AI behavior Design responsive Game AI using the Behavior Tree methodology Create smart objects designed to interact with AI Utilize advanced AI features within your project to maximize the user experience In Detail Unreal Engine is a powerful game development engine that provides rich functionalities to create 2D and 3D games. Developers have the opportunity to build cross-platform mobile and desktop games from scratch. This book will show you how to apply artificial intelligence (AI) techniques to your Unreal project using blueprints as your scripting language. You will start with an introduction to AI, and learn how it is applied to gaming. Then you'll jump right in and create a simple AI bot and apply basic behaviors to allow it to move randomly. As you progress, you'll find out how to implement randomness and probability traits. Using NavMesh, you will impart navigation components such as character movement, MoveTo nodes, settings, and world objects, and implement Behavior Trees. At the end of the book, you will troubleshoot any issues that might crop up while building the game. Style and approach This easy-to-follow project-based guide throws you directly into the excitement of Game AI in an approachable and comprehensive manner.


Book Synopsis Unreal Engine 4 AI Programming Essentials by : Peter L. Newton

Download or read book Unreal Engine 4 AI Programming Essentials written by Peter L. Newton and published by Packt Publishing Ltd. This book was released on 2016-03-18 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create responsive and intelligent game AI using Blueprints in Unreal Engine 4 About This Book Understand and apply your Game AI better through various projects such as adding randomness and probability, and introducing movement Configure and debug Game AI logic using multiple methodologies Bridge the gap between your knowledge and Game AI in Unreal Engine 4 Who This Book Is For This book is for programmers and artists who want to expand their knowledge of Game AI in relation to Unreal Engine 4. You are recommended to have some experience of exploring Unreal Engine 4 prior to this book because we jump straight into Game AI. What You Will Learn Understand the fundamental components of Game AI within Unreal Engine 4 Skillfully introduce Game AI within Unreal Engine 4 Configure, customize, and assign Navigation and AI components to your pawn Create, debug, and analyze Game AI behavior Design responsive Game AI using the Behavior Tree methodology Create smart objects designed to interact with AI Utilize advanced AI features within your project to maximize the user experience In Detail Unreal Engine is a powerful game development engine that provides rich functionalities to create 2D and 3D games. Developers have the opportunity to build cross-platform mobile and desktop games from scratch. This book will show you how to apply artificial intelligence (AI) techniques to your Unreal project using blueprints as your scripting language. You will start with an introduction to AI, and learn how it is applied to gaming. Then you'll jump right in and create a simple AI bot and apply basic behaviors to allow it to move randomly. As you progress, you'll find out how to implement randomness and probability traits. Using NavMesh, you will impart navigation components such as character movement, MoveTo nodes, settings, and world objects, and implement Behavior Trees. At the end of the book, you will troubleshoot any issues that might crop up while building the game. Style and approach This easy-to-follow project-based guide throws you directly into the excitement of Game AI in an approachable and comprehensive manner.


Hands-On Reinforcement Learning for Games

Hands-On Reinforcement Learning for Games

Author: Micheal Lanham

Publisher: Packt Publishing Ltd

Published: 2020-01-03

Total Pages: 420

ISBN-13: 1839216778

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Explore reinforcement learning (RL) techniques to build cutting-edge games using Python libraries such as PyTorch, OpenAI Gym, and TensorFlow Key FeaturesGet to grips with the different reinforcement and DRL algorithms for game developmentLearn how to implement components such as artificial agents, map and level generation, and audio generationGain insights into cutting-edge RL research and understand how it is similar to artificial general researchBook Description With the increased presence of AI in the gaming industry, developers are challenged to create highly responsive and adaptive games by integrating artificial intelligence into their projects. This book is your guide to learning how various reinforcement learning techniques and algorithms play an important role in game development with Python. Starting with the basics, this book will help you build a strong foundation in reinforcement learning for game development. Each chapter will assist you in implementing different reinforcement learning techniques, such as Markov decision processes (MDPs), Q-learning, actor-critic methods, SARSA, and deterministic policy gradient algorithms, to build logical self-learning agents. Learning these techniques will enhance your game development skills and add a variety of features to improve your game agent’s productivity. As you advance, you’ll understand how deep reinforcement learning (DRL) techniques can be used to devise strategies to help agents learn from their actions and build engaging games. By the end of this book, you’ll be ready to apply reinforcement learning techniques to build a variety of projects and contribute to open source applications. What you will learnUnderstand how deep learning can be integrated into an RL agentExplore basic to advanced algorithms commonly used in game developmentBuild agents that can learn and solve problems in all types of environmentsTrain a Deep Q-Network (DQN) agent to solve the CartPole balancing problemDevelop game AI agents by understanding the mechanism behind complex AIIntegrate all the concepts learned into new projects or gaming agentsWho this book is for If you’re a game developer looking to implement AI techniques to build next-generation games from scratch, this book is for you. Machine learning and deep learning practitioners, and RL researchers who want to understand how to use self-learning agents in the game domain will also find this book useful. Knowledge of game development and Python programming experience are required.


Book Synopsis Hands-On Reinforcement Learning for Games by : Micheal Lanham

Download or read book Hands-On Reinforcement Learning for Games written by Micheal Lanham and published by Packt Publishing Ltd. This book was released on 2020-01-03 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore reinforcement learning (RL) techniques to build cutting-edge games using Python libraries such as PyTorch, OpenAI Gym, and TensorFlow Key FeaturesGet to grips with the different reinforcement and DRL algorithms for game developmentLearn how to implement components such as artificial agents, map and level generation, and audio generationGain insights into cutting-edge RL research and understand how it is similar to artificial general researchBook Description With the increased presence of AI in the gaming industry, developers are challenged to create highly responsive and adaptive games by integrating artificial intelligence into their projects. This book is your guide to learning how various reinforcement learning techniques and algorithms play an important role in game development with Python. Starting with the basics, this book will help you build a strong foundation in reinforcement learning for game development. Each chapter will assist you in implementing different reinforcement learning techniques, such as Markov decision processes (MDPs), Q-learning, actor-critic methods, SARSA, and deterministic policy gradient algorithms, to build logical self-learning agents. Learning these techniques will enhance your game development skills and add a variety of features to improve your game agent’s productivity. As you advance, you’ll understand how deep reinforcement learning (DRL) techniques can be used to devise strategies to help agents learn from their actions and build engaging games. By the end of this book, you’ll be ready to apply reinforcement learning techniques to build a variety of projects and contribute to open source applications. What you will learnUnderstand how deep learning can be integrated into an RL agentExplore basic to advanced algorithms commonly used in game developmentBuild agents that can learn and solve problems in all types of environmentsTrain a Deep Q-Network (DQN) agent to solve the CartPole balancing problemDevelop game AI agents by understanding the mechanism behind complex AIIntegrate all the concepts learned into new projects or gaming agentsWho this book is for If you’re a game developer looking to implement AI techniques to build next-generation games from scratch, this book is for you. Machine learning and deep learning practitioners, and RL researchers who want to understand how to use self-learning agents in the game domain will also find this book useful. Knowledge of game development and Python programming experience are required.


Hands-On Machine Learning with C++

Hands-On Machine Learning with C++

Author: Kirill Kolodiazhnyi

Publisher: Packt Publishing Ltd

Published: 2020-05-15

Total Pages: 515

ISBN-13: 1789952476

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Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib with the help of real-world examples and datasets Key FeaturesBecome familiar with data processing, performance measuring, and model selection using various C++ librariesImplement practical machine learning and deep learning techniques to build smart modelsDeploy machine learning models to work on mobile and embedded devicesBook Description C++ can make your machine learning models run faster and more efficiently. This handy guide will help you learn the fundamentals of machine learning (ML), showing you how to use C++ libraries to get the most out of your data. This book makes machine learning with C++ for beginners easy with its example-based approach, demonstrating how to implement supervised and unsupervised ML algorithms through real-world examples. This book will get you hands-on with tuning and optimizing a model for different use cases, assisting you with model selection and the measurement of performance. You’ll cover techniques such as product recommendations, ensemble learning, and anomaly detection using modern C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib. Next, you’ll explore neural networks and deep learning using examples such as image classification and sentiment analysis, which will help you solve various problems. Later, you’ll learn how to handle production and deployment challenges on mobile and cloud platforms, before discovering how to export and import models using the ONNX format. By the end of this C++ book, you will have real-world machine learning and C++ knowledge, as well as the skills to use C++ to build powerful ML systems. What you will learnExplore how to load and preprocess various data types to suitable C++ data structuresEmploy key machine learning algorithms with various C++ librariesUnderstand the grid-search approach to find the best parameters for a machine learning modelImplement an algorithm for filtering anomalies in user data using Gaussian distributionImprove collaborative filtering to deal with dynamic user preferencesUse C++ libraries and APIs to manage model structures and parametersImplement a C++ program to solve image classification tasks with LeNet architectureWho this book is for You will find this C++ machine learning book useful if you want to get started with machine learning algorithms and techniques using the popular C++ language. As well as being a useful first course in machine learning with C++, this book will also appeal to data analysts, data scientists, and machine learning developers who are looking to implement different machine learning models in production using varied datasets and examples. Working knowledge of the C++ programming language is mandatory to get started with this book.


Book Synopsis Hands-On Machine Learning with C++ by : Kirill Kolodiazhnyi

Download or read book Hands-On Machine Learning with C++ written by Kirill Kolodiazhnyi and published by Packt Publishing Ltd. This book was released on 2020-05-15 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib with the help of real-world examples and datasets Key FeaturesBecome familiar with data processing, performance measuring, and model selection using various C++ librariesImplement practical machine learning and deep learning techniques to build smart modelsDeploy machine learning models to work on mobile and embedded devicesBook Description C++ can make your machine learning models run faster and more efficiently. This handy guide will help you learn the fundamentals of machine learning (ML), showing you how to use C++ libraries to get the most out of your data. This book makes machine learning with C++ for beginners easy with its example-based approach, demonstrating how to implement supervised and unsupervised ML algorithms through real-world examples. This book will get you hands-on with tuning and optimizing a model for different use cases, assisting you with model selection and the measurement of performance. You’ll cover techniques such as product recommendations, ensemble learning, and anomaly detection using modern C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib. Next, you’ll explore neural networks and deep learning using examples such as image classification and sentiment analysis, which will help you solve various problems. Later, you’ll learn how to handle production and deployment challenges on mobile and cloud platforms, before discovering how to export and import models using the ONNX format. By the end of this C++ book, you will have real-world machine learning and C++ knowledge, as well as the skills to use C++ to build powerful ML systems. What you will learnExplore how to load and preprocess various data types to suitable C++ data structuresEmploy key machine learning algorithms with various C++ librariesUnderstand the grid-search approach to find the best parameters for a machine learning modelImplement an algorithm for filtering anomalies in user data using Gaussian distributionImprove collaborative filtering to deal with dynamic user preferencesUse C++ libraries and APIs to manage model structures and parametersImplement a C++ program to solve image classification tasks with LeNet architectureWho this book is for You will find this C++ machine learning book useful if you want to get started with machine learning algorithms and techniques using the popular C++ language. As well as being a useful first course in machine learning with C++, this book will also appeal to data analysts, data scientists, and machine learning developers who are looking to implement different machine learning models in production using varied datasets and examples. Working knowledge of the C++ programming language is mandatory to get started with this book.


Learning Unreal Engine Game Development

Learning Unreal Engine Game Development

Author: Joanna Lee

Publisher: Packt Publishing Ltd

Published: 2016-02-29

Total Pages: 274

ISBN-13: 178439596X

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A step-by-step guide that paves the way for developing fantastic games with Unreal Engine 4 About This Book Learn about game development and the building blocks that go into creating a game A simple tutorial for beginners to get acquainted with the Unreal Engine architecture Learn about the features and functionalities of Unreal Engine 4 and how to use them to create your own games Who This Book Is For If you are new to game development and want to learn how games are created using Unreal Engine 4, this book is the right choice for you. You do not need prior game development experience, but it is expected that you have played games before. Knowledge of C++ would prove to be useful. What You Will Learn Learn what a game engine is, the history of Unreal Engine, and how game studios create games Explore the Unreal Engine 4 editor controls and learn how to use the editor to create a room in a game level Understand the basic structures of objects in a game, such as the differences between BSP and static meshes Make objects interactive using level blueprints Learn more about computer graphics rendering; how materials and light are rendered in your game Get acquainted with the Material Editor to create materials and use different types of lights in the game levels Utilize the various editors, tools, and features such as UI, the particle system, audio, terrain manipulation, and cinematics in Unreal Engine 4 to create game levels In Detail Unreal Engine 4 is a powerful game development engine that provides rich functionalities to create 2D and 3D games across multiple platforms. Many people know what a game is and they play games every day, but how many of them know how to create a game? Unreal Engine technology powers hundreds of games, and thousands of individuals have built careers and companies around skills developed using this engine. Learning Unreal Engine 4 Game Development starts with small, simple game ideas and playable projects that you can actually finish. The book first teaches you the basics of using Unreal Engine to create a simple game level. Then, you'll learn how to add details such as actors, animation, effects, and so on to the game. The complexity will increase over the chapters and the examples chosen will help you learn a wide variety of game development techniques. This book aims to equip you with the confidence and skills to design and build your own games using Unreal Engine 4. By the end of this book, you'll have learnt about the entire Unreal suite and know how to successfully create fun, simple games. Style and approach This book explains in detail what goes into the development of a game, provides hands-on examples that you can follow to create the different components of a game, and provides sufficient background/theory to equip you with a solid foundation for creating your own games.


Book Synopsis Learning Unreal Engine Game Development by : Joanna Lee

Download or read book Learning Unreal Engine Game Development written by Joanna Lee and published by Packt Publishing Ltd. This book was released on 2016-02-29 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: A step-by-step guide that paves the way for developing fantastic games with Unreal Engine 4 About This Book Learn about game development and the building blocks that go into creating a game A simple tutorial for beginners to get acquainted with the Unreal Engine architecture Learn about the features and functionalities of Unreal Engine 4 and how to use them to create your own games Who This Book Is For If you are new to game development and want to learn how games are created using Unreal Engine 4, this book is the right choice for you. You do not need prior game development experience, but it is expected that you have played games before. Knowledge of C++ would prove to be useful. What You Will Learn Learn what a game engine is, the history of Unreal Engine, and how game studios create games Explore the Unreal Engine 4 editor controls and learn how to use the editor to create a room in a game level Understand the basic structures of objects in a game, such as the differences between BSP and static meshes Make objects interactive using level blueprints Learn more about computer graphics rendering; how materials and light are rendered in your game Get acquainted with the Material Editor to create materials and use different types of lights in the game levels Utilize the various editors, tools, and features such as UI, the particle system, audio, terrain manipulation, and cinematics in Unreal Engine 4 to create game levels In Detail Unreal Engine 4 is a powerful game development engine that provides rich functionalities to create 2D and 3D games across multiple platforms. Many people know what a game is and they play games every day, but how many of them know how to create a game? Unreal Engine technology powers hundreds of games, and thousands of individuals have built careers and companies around skills developed using this engine. Learning Unreal Engine 4 Game Development starts with small, simple game ideas and playable projects that you can actually finish. The book first teaches you the basics of using Unreal Engine to create a simple game level. Then, you'll learn how to add details such as actors, animation, effects, and so on to the game. The complexity will increase over the chapters and the examples chosen will help you learn a wide variety of game development techniques. This book aims to equip you with the confidence and skills to design and build your own games using Unreal Engine 4. By the end of this book, you'll have learnt about the entire Unreal suite and know how to successfully create fun, simple games. Style and approach This book explains in detail what goes into the development of a game, provides hands-on examples that you can follow to create the different components of a game, and provides sufficient background/theory to equip you with a solid foundation for creating your own games.


Unreal Engine 4 Shaders and Effects Cookbook

Unreal Engine 4 Shaders and Effects Cookbook

Author: Brais Brenlla Ramos

Publisher: Packt Publishing Ltd

Published: 2019-05-27

Total Pages: 518

ISBN-13: 1789533368

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Build optimized, efficient, and real-time applications that are production-ready using Unreal Engine's Material Editor Key FeaturesCreate stunning visual effects for 3D games and high-quality graphicsDesign efficient Shaders for mobile platforms without sacrificing their realismDiscover what goes into the structure of Shaders and why lighting works the way it doesBook Description Unreal Engine 4 is a powerful game engine, one which has seen a recent boost in widespread adoption thanks to its ease of use and the powerful rendering pipeline that it packs. Seeing as how it's relatively easy to create stunning presentations and visuals, Unreal has quickly become a strong contender in industries where this kind of software had been previously denied entry. With that in mind, this book aims to help you get the most out of Unreal Engine 4 - from creating awe-inspiring graphics to delivering optimized experiences to your users. This is possible thanks to a mixture of hands-on experience with real materials and the theory behind them. You will immediately know how to create that material that you want to display, and you'll also end up with the knowledge that will let you know how to control it. All of this will be done without losing sight of two key components of any real-time application - optimization, and efficiency. The materials that you create will be light and efficient, and they will vary depending on your target platform. You'll know which techniques can be used in any kind of device and which ones should be kept to high-end machines, giving you the confidence to tackle any material-related task that you can imagine. Hop onboard and discover how! What you will learnMaster Unreal Engine's rendering pipeline for developing real-time graphicsUse physically based rendering (PBR) for building materials and lighting solutionsBuild optimized materials for games targeting multiple platformsUnderstand Unreal Engine's node and functions for creating desirable effectsDesign and build production-ready shadersExplore Unreal Engine's Material Editor for building complex materials and texturesWho this book is for This book is for developers who want to create their first Shaders in Unreal Engine 4 or wish to take their game to a whole new level by adding professional post-processing effects. A solid understanding of Unreal is required to get the most from this book.


Book Synopsis Unreal Engine 4 Shaders and Effects Cookbook by : Brais Brenlla Ramos

Download or read book Unreal Engine 4 Shaders and Effects Cookbook written by Brais Brenlla Ramos and published by Packt Publishing Ltd. This book was released on 2019-05-27 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build optimized, efficient, and real-time applications that are production-ready using Unreal Engine's Material Editor Key FeaturesCreate stunning visual effects for 3D games and high-quality graphicsDesign efficient Shaders for mobile platforms without sacrificing their realismDiscover what goes into the structure of Shaders and why lighting works the way it doesBook Description Unreal Engine 4 is a powerful game engine, one which has seen a recent boost in widespread adoption thanks to its ease of use and the powerful rendering pipeline that it packs. Seeing as how it's relatively easy to create stunning presentations and visuals, Unreal has quickly become a strong contender in industries where this kind of software had been previously denied entry. With that in mind, this book aims to help you get the most out of Unreal Engine 4 - from creating awe-inspiring graphics to delivering optimized experiences to your users. This is possible thanks to a mixture of hands-on experience with real materials and the theory behind them. You will immediately know how to create that material that you want to display, and you'll also end up with the knowledge that will let you know how to control it. All of this will be done without losing sight of two key components of any real-time application - optimization, and efficiency. The materials that you create will be light and efficient, and they will vary depending on your target platform. You'll know which techniques can be used in any kind of device and which ones should be kept to high-end machines, giving you the confidence to tackle any material-related task that you can imagine. Hop onboard and discover how! What you will learnMaster Unreal Engine's rendering pipeline for developing real-time graphicsUse physically based rendering (PBR) for building materials and lighting solutionsBuild optimized materials for games targeting multiple platformsUnderstand Unreal Engine's node and functions for creating desirable effectsDesign and build production-ready shadersExplore Unreal Engine's Material Editor for building complex materials and texturesWho this book is for This book is for developers who want to create their first Shaders in Unreal Engine 4 or wish to take their game to a whole new level by adding professional post-processing effects. A solid understanding of Unreal is required to get the most from this book.


Artificial Intelligence and Games

Artificial Intelligence and Games

Author: Georgios N. Yannakakis

Publisher: Springer

Published: 2018-02-17

Total Pages: 337

ISBN-13: 3319635190

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This is the first textbook dedicated to explaining how artificial intelligence (AI) techniques can be used in and for games. After introductory chapters that explain the background and key techniques in AI and games, the authors explain how to use AI to play games, to generate content for games and to model players. The book will be suitable for undergraduate and graduate courses in games, artificial intelligence, design, human-computer interaction, and computational intelligence, and also for self-study by industrial game developers and practitioners. The authors have developed a website (http://www.gameaibook.org) that complements the material covered in the book with up-to-date exercises, lecture slides and reading.


Book Synopsis Artificial Intelligence and Games by : Georgios N. Yannakakis

Download or read book Artificial Intelligence and Games written by Georgios N. Yannakakis and published by Springer. This book was released on 2018-02-17 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first textbook dedicated to explaining how artificial intelligence (AI) techniques can be used in and for games. After introductory chapters that explain the background and key techniques in AI and games, the authors explain how to use AI to play games, to generate content for games and to model players. The book will be suitable for undergraduate and graduate courses in games, artificial intelligence, design, human-computer interaction, and computational intelligence, and also for self-study by industrial game developers and practitioners. The authors have developed a website (http://www.gameaibook.org) that complements the material covered in the book with up-to-date exercises, lecture slides and reading.


Game Development and Simulation with Unreal Technology

Game Development and Simulation with Unreal Technology

Author: Alireza Tavakkoli

Publisher: CRC Press

Published: 2015-08-18

Total Pages: 734

ISBN-13: 1498706258

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Game Development and Simulation with Unreal Technology explores the use of Unreal Engine 4 (UE4) for the development of real-time digital interactive contents to be used in computerized games or simulations. The engine is considered in three main iterations: from the basic use of the engine to build games and simulation content out of the box, to i


Book Synopsis Game Development and Simulation with Unreal Technology by : Alireza Tavakkoli

Download or read book Game Development and Simulation with Unreal Technology written by Alireza Tavakkoli and published by CRC Press. This book was released on 2015-08-18 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: Game Development and Simulation with Unreal Technology explores the use of Unreal Engine 4 (UE4) for the development of real-time digital interactive contents to be used in computerized games or simulations. The engine is considered in three main iterations: from the basic use of the engine to build games and simulation content out of the box, to i


Programming Game AI by Example

Programming Game AI by Example

Author: Mat Buckland

Publisher: Jones & Bartlett Learning

Published: 2005

Total Pages: 522

ISBN-13: 9781556220784

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This book describes in detail many of the AI techniques used in modern computer games, explicity shows how to implement these practical techniques within the framework of several game developers with a practical foundation to game AI.


Book Synopsis Programming Game AI by Example by : Mat Buckland

Download or read book Programming Game AI by Example written by Mat Buckland and published by Jones & Bartlett Learning. This book was released on 2005 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes in detail many of the AI techniques used in modern computer games, explicity shows how to implement these practical techniques within the framework of several game developers with a practical foundation to game AI.


Unreal Engine 4.x Scripting with C++ Cookbook

Unreal Engine 4.x Scripting with C++ Cookbook

Author: John P. Doran

Publisher: Packt Publishing Ltd

Published: 2019-03-29

Total Pages: 693

ISBN-13: 1789803373

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Unreal Engine 4 (UE4) is a popular and award-winning game engine that powers some of the most popular games. A truly powerful tool for game development, there has never been a better time to use it for both commercial and independent projects. With more than 100 recipes, this book shows how to unleash the power of C++ while developing games ...


Book Synopsis Unreal Engine 4.x Scripting with C++ Cookbook by : John P. Doran

Download or read book Unreal Engine 4.x Scripting with C++ Cookbook written by John P. Doran and published by Packt Publishing Ltd. This book was released on 2019-03-29 with total page 693 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unreal Engine 4 (UE4) is a popular and award-winning game engine that powers some of the most popular games. A truly powerful tool for game development, there has never been a better time to use it for both commercial and independent projects. With more than 100 recipes, this book shows how to unleash the power of C++ while developing games ...