SKU/Artículo: AMZ-B0G2LPRT7W
PRACTICAL GAME AI WITH UNITY ML-AGENTS: TRAIN SMART NPCS, AUTOMATE PLAYTESTING, AND BUILD ADAPTIVE GAMEPLAY USING REINFORCEMENT & IMITATION LEARNING
Format:
Kindle
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.15 kg
0.15 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- PRACTICAL GAME AI WITH UNITY ML-AGENTS: TRAIN SMART NPCS, AUTOMATE PLAYTESTING, AND BUILD ADAPTIVE GAMEPLAY USING REINFORCEMENT & IMITATION LEARNING About the Technology:Unity ML-Agents brings cutting-edge machine learning into everyday game development, allowing creators to train intelligent Agents through reinforcement learning, imitation learning, PPO, SAC, and curriculum learning. Instead of building predictable NPCs or manually scripting behaviors, you can use ML-powered training to design smarter gameplay systems, automate testing, and create adaptive gaming experiences. This book shows you how to leverage these tools through practical, real-world Unity projects.Designed for developers who want actionable skills rather than academic theory, this guide blends Unity AI programming with machine learning for game design. You’ll follow proven workflows used by studios to build intelligent Agents and improve gameplay quality through AI automation in games. Every technique in this book is backed by hands-on examples and clear explanations. Summary of the Book:Practical Game AI with Unity ML-Agents teaches you how to apply reinforcement learning for game development to train Agents that navigate, chase, evade, fight, explore, and adapt. Using simple instructions and complete Unity projects, you’ll learn how to develop NPC behavior learning systems, run automated playtesting, and build adaptive game AI that responds intelligently to players.What’s Inside:A complete introduction to unity ML Agents game AIStep-by-step training of intelligent Agents using Unity RL (PPO, SAC)Real gameplay scenarios that demonstrate Unity AI behaviorAutomated playtesting workflows used to balance difficulty and detect exploitsTechniques for imitation learning game AIPractical examples of intelligent NPCs, navigation, combat behaviors, and decision-makingOptimization tips for deploying trained .onnx models in your gamesWhether you want to improve gameplay, generate smarter enemies, or create evolving Agents, each chapter gives you a clear roadmap to success.About the Reader:This book is perfect for Unity developers expanding into machine learning, game programmers looking for a practical reinforcement learning Unity tutorial, and developers tired of rigid, predictable NPCs. It also supports students, designers, and professionals learning Unity AI developer workflows, as well as anyone building gameplay systems powered by ML or intelligent Agents. If you want a direct, no-nonsense guide to training real Agents for real games, this book is for you.Whether you’re learning over a weekend or building ML systems for a long-term project, the book’s modular structure lets you progress quickly. You can train your first Agent in an afternoon and build adaptive behaviors within days, all while developing production-ready Unity ML workflows at your own pace.If you’re ready to move beyond scripted logic and create truly intelligent game Agents, start your journey here. Scroll up and grab your copy of Practical Game AI with Unity ML-Agents—and begin building the next generation of smarter, adaptive, ML-powered gameplay.
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