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UNITY GAME DEVELOPMENT WITH UNITY ML-AGENTS: Building Adaptive Game AI Using Unity’s Machine Learning Toolkit (Tech Programs For Beginners series)
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.41 kg
0.41 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- What if your game characters could learn, adapt, and surprise players like real opponents? Now they can—with Unity ML-Agents.Welcome to the future of game AI development.“UNITY GAME DEVELOPMENT WITH UNITY ML-AGENTS: Building Adaptive Game AI Using Unity’s Machine Learning Toolkit” by Elmer Wright is your hands-on guide to integrating powerful machine learning into your Unity games — even if you’re not a data scientist.By combining the power of Unity’s ML-Agents Toolkit with real-world game development practices, this book shows you exactly how to train intelligent agents that learn, improve, and react in truly dynamic ways.What You’ll Learn Inside✅ Understand the ML-Agents Toolkit from the Ground Up Learn how Unity’s AI framework works, how reinforcement learning applies to games, and how to train agents using Python.✅ Set Up Training Environments in Unity Build custom scenes for agent training, define rewards and observations, and fine-tune behavior.✅ Integrate Machine Learning with Gameplay Seamlessly connect trained models to player interactions, enemy behavior, NPC logic, and more.✅ Use Python + Unity Like a Pro Learn how to structure Python training scripts, manage environments, and visualize progress using TensorBoard.✅ Develop Smarter, Adaptive Enemies and Game Mechanics Create AI that responds to player strategies, optimizes itself over time, and makes your gameplay more immersive.✅ Explore Real Projects and Practical Examples Follow along with step-by-step tutorials that walk you through real mini-games, enemy AI systems, and training routines.Who This Book Is For:Unity developers who want to take game AI to the next levelGame designers interested in adaptive gameplay and procedural learningIndie developers building smarter NPCs and more engaging player experiencesAnyone curious about the intersection of Unity, Python, and machine learningNo fluff, no theory-only explanations — just clear, practical guidance on using Unity ML-Agents to build smarter, learning-based games.Whether you're creating a stealth game with unpredictable guards, a platformer with evolving enemies, or a simulation where agents improve over time, this book gives you the knowledge and confidence to bring those ideas to life.Ready to build games where the AI actually learns? Click the Add to Cart button now and unlock the full power of Unity + machine learning — with Unity ML-Agents and Elmer Wright as your guide.
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