Dernière sortie
Smarter Games with AI
AI for games game AI programming procedural generation machine learning for games. Unlock the secrets to building smarter, more immersive game worlds with Smarter Games with AI. This practical, hands-on guide takes you from beginner to pro, covering pathfinding, behavior trees, and the machine learning techniques that make NPCs and environments feel truly alive. Whether you're an indie dev or AAA veteran, you'll learn to craft believable characters and dynamic worlds that adapt to player actions.
Compare with competitors like [placeholder] and [placeholder] to see how this book delivers real-world code, clear explanations, and cutting-edge ML integration-no fluff, just results. Dive deep into core AI systems: A* and Dijkstra pathfinding, finite state machines, and hierarchical behavior trees. Then level up with neural networks, reinforcement learning, and procedural content generation. Each chapter includes practical examples in Python and C#, ready to adapt to Unity, Unreal, or custom engines.
You'll also explore emergent behavior, crowd simulation, and environmental storytelling. By the end, you'll have the tools to create games that surprise, challenge, and delight players-without sacrificing performance or control. What you'll learn inside: Implement pathfinding for complex terrains and dynamic obstacles Design behavior trees for NPCs that react intelligently to player choices Use reinforcement learning to train enemies that evolve over time Generate infinite worlds with procedural techniques and ML-driven content Optimize AI for mobile, VR, and real-time multiplayer Perfect for game developers, students, and hobbyists ready to push beyond basic AI.
No prior ML experience required-just a passion for making games that feel alive. Start building smarter games today.
Compare with competitors like [placeholder] and [placeholder] to see how this book delivers real-world code, clear explanations, and cutting-edge ML integration-no fluff, just results. Dive deep into core AI systems: A* and Dijkstra pathfinding, finite state machines, and hierarchical behavior trees. Then level up with neural networks, reinforcement learning, and procedural content generation. Each chapter includes practical examples in Python and C#, ready to adapt to Unity, Unreal, or custom engines.
You'll also explore emergent behavior, crowd simulation, and environmental storytelling. By the end, you'll have the tools to create games that surprise, challenge, and delight players-without sacrificing performance or control. What you'll learn inside: Implement pathfinding for complex terrains and dynamic obstacles Design behavior trees for NPCs that react intelligently to player choices Use reinforcement learning to train enemies that evolve over time Generate infinite worlds with procedural techniques and ML-driven content Optimize AI for mobile, VR, and real-time multiplayer Perfect for game developers, students, and hobbyists ready to push beyond basic AI.
No prior ML experience required-just a passion for making games that feel alive. Start building smarter games today.
