Explore reinforcement learning (RL) techniques to build cutting-edge games using Python libraries such as PyTorch, OpenAI Gym, and TensorFlow Key Features Get to grips with the different reinforcement and DRL algorithms for game development Learn how to implement components such as artificial agents, map and level generation, and audio generation Gain insights into cutting-edge RL research and understand how it is similar to artificial general research Book 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 learn Understand how deep learning can be integrated into an RL agent Explore basic to advanced algorithms commonly used in game development Build agents that can learn and solve problems in all types of environments Train a Deep Q-Network (DQN) agent to solve the CartPole balancing problem Develop game
Understand the core concepts of deep learning and deep reinforcement learning by applying them to develop games Key Features Apply the power of deep learning to complex reasoning tasks by building a Game AI Exploit the most recent developments in machine learning and AI for building smart games Implement deep learning models and neural networks with Python Book Description The number of applications of deep learning and neural networks has multiplied in the last couple of years. Neural nets has enabled significant breakthroughs in everything from computer vision, voice generation, voice recognition and self-driving cars. Game development is also a key area where these techniques are being applied. This book will give an in depth view of the potential of deep learning and neural networks in game development. We will take a look at the foundations of multi-layer perceptron's to using convolutional and recurrent networks. In applications from GANs that create music or textures to self-driving cars and chatbots. Then we introduce deep reinforcement learning through the multi-armed bandit problem and other OpenAI Gym environments. As we progress through the book we will gain insights about DRL techniques such as Motivated Reinforcement Learning with Curiosity and Curriculum Learning. We also take a closer look at deep reinforcement learning and in particular the Unity ML-Agents toolkit. By the end of the book, we will look at how to apply DRL and the ML-Agents toolkit to enhance, test and automate your games or simulations. Finally, we will cover your possible next steps and possible areas for future learning. What you will learn Learn the foundations of neural networks and deep learning. Use advanced neural network architectures in applications to create music, textures, self driving cars and chatbots. Understand the basics of reinforcement and DRL and how to apply it to solve a variety of problems. Working with Unity ML-Agents toolkit and how to install, setup and run
Transform games into environments using machine learning and Deep learning with Tensorflow, Keras, and UnityAbout This BookLearn how to apply core machine learning concepts to your games with UnityLearn the Fundamentals of Reinforcement Learning and Q-Learning and apply them to your gamesLearn How to build multiple asynchronous agents and run them in a training scenarioWho This Book Is ForThis book is intended for developers with an interest in using Machine learning algorithms to develop better games and simulations with Unity.The reader will be required to have a working knowledge of C# and a basic understanding of Python.What You Will LearnDevelop Reinforcement and Deep Reinforcement Learning for games.Understand complex and advanced concepts of reinforcement learning and neural networksExplore various training strategies for cooperative and competitive agent developmentAdapt the basic script components of Academy, Agent, and Brain to be used with Q Learning.Enhance the Q Learning model with improved training strategies such as Greedy-Epsilon explorationImplement a simple NN with Keras and use it as an external brain in UnityUnderstand how to add LTSM blocks to an existing DQNBuild multiple asynchronous agents and run them in a training scenarioIn DetailUnity Machine Learning agents allow researchers and developers to create games and simulations using the Unity Editor, which serves as an environment where intelligent agents can be trained with machine learning methods through a simple-to-use Python API.This book takes you from the basics of Reinforcement and Q Learning to building Deep Recurrent Q-Network agents that cooperate or compete in a multi-agent ecosystem. You will start with the basics of Reinforcement Learning and how to apply it to problems. Then you will learn how to build self-learning advanced neural networks with Python and Keras/TensorFlow. From there you move o n to more advanced training scenarios where you will learn further innovative ways t
Create next-generation Augmented Reality and Mixed Reality apps with the latest version of Google ARCoreAbout This BookHarness the power of the Google's new augmented reality (AR) platform ARCore to build cutting-edge Augmented reality appsLearn core concepts of Environmental Understanding, Immersive Computing, and Motion Tracking with ARCoreExtend your application by combining ARCore with OpenGL, Machine Learning and more.Who This Book Is ForThis book is for web and mobile developers who have broad programming knowledge on Java or JavaScript or C# and want to develop Augmented Reality applications with Google ArCore. To follow this book no prior experience with AR development, 3D, or 3D math experience is needed.What You Will LearnBuild and deploy your Augmented Reality app to the Android, Web, and Unity platformsImplement ARCore to identify and visualize objects as point clouds, planes, surfaces, and/or meshesExplore advanced concepts of environmental understanding using Google ARCore and OpenGL ES with JavaCreate light levels from ARCore and create a C# script to watch and propagate lighting changes in a sceneDevelop graphics shaders that react to changes in lighting and map the environment to place objects in Unity/C#Integrate motion tracking with the Web ARCore API and Google Street View to create a combined AR/VR experienceIn DetailAre you a mobile developer or web developer who wants to create immersive and cool Augmented Reality apps with the latest Google ARCore platform? If so, this book will help you jump right into developing with ARCore and will help you create a step by step AR app easily.This book will teach you how to implement the core features of ARCore starting from the fundamentals of 3D rendering to more advanced concepts such as lighting, shaders, Machine Learning, and others.We'll begin with the basics of building a project on three platforms: web, Android, and Unity. Next, we'll go through the ARCore concepts of motion tracking, environmental
Create 'AAA' quality game audio with new features and tools built for UnityAbout This BookExplore the basics of audio development in Unity to create spatial sound, mixing, effects, composition, adaptive audio and more.Leverage the Audio Mixer of Unity 5.x to create blockbuster sound and music for your game.Learn about developing professional audio for games with FMOD Studio and composing original music with Reaper.Build amazing audio synchronized graphic visualizations with Unity.Understand how real-time character lip syncing can be implemented.Who This Book Is ForThe ideal target audience for this book will be game developers, both Indie as well as semi pro. No prior knowledge of Unity and audio development is assumed,What You Will LearnDevelop game audio and other audio effects with UnityGetting familiar with the new Audio Mixer introduced in Unity 5Implement dynamic and adaptive audio using various tools and strategiesExplore interesting ways to incorporate audio into a game with sound visualizationUse 3rd party professional audio development tools like FMODCompose original music and record vocalsUnderstand and troubleshoot audio performance issuesIn DetailGame Audio is one of the key components in making a game successful and it is quite popular in the gaming industry. So if you are a game developer with an eye on capturing the gamer market then this book is the right solution for you.In this book, we will take you through a step by step journey which will teach you to implement original and engaging soundtracks and SFX with Unity 5.x. You will be firstly introduced to the basics of game audio and sound development in Unity. After going through the core topics of audio development: audio sources, spatial sound, mixing, effects, and more; you will then have the option of delving deeper into more advanced topics like dynamic and adaptive audio. You will also learn to develop dynamic and adaptive audio using the Unity Audio Mixer. Further, you will learn how profes
Create your own augmented reality games from scratch with Unity 5About This BookCreate your own augmented reality game from scratch and join the virtual reality gaming revolutionUse the latest Unity 5 VR SDK to create pro-level AR games like Pokemon GoInnovate and explore the latest and most promising trend of AR gaming in the mobile gaming industryWho This Book Is ForThis book is for those who have a basic knowledge of game development techniques, but no previous knowledge of Unity is required. Some basic programming knowledge would be desirable, but the book is an introduction to the topic. The book is also suitable for experienced developers new to GIS or GPS development.What You Will LearnBuild a location-based augmented reality game called Foodie GoAnimate a player's avatar on a mapUse the mobile device's camera as a game backgroundImplement database persistence with SQLLite4Unity3D to carry inventory items across game sessionsCreate basic UI elements for the game, inventory, menu, and settingsPerform location and content searches against the Google Places APIEnhance the game's mood by adding visual shader effectsExtend the game by adding multiplayer networking and other enhancementsIn DetailThe heyday of location-based augmented reality games is upon us. They have been around for a few years, but the release of Pokemon Go was a gamechanger that catalyzed the market and led to a massive surge in demand. Now is the time for novice and experienced developers alike to turn their good ideas into augmented reality (AR) mobile games and meet this demand!If you are keen to develop virtual reality games with the latest Unity 5 toolkit, then this is the book for you. The genre of location-based AR games introduces a new platform and technical challenges, but this book will help simplify those challenges and show how to maximize your game audience.This book will take you on a journey through building a location-based AR game that addresses the core technical concepts: GI
