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コース概要
Introduction to AI in Gaming
- Overview of AI applications in games
- Types of AI agents: NPCs, strategic AI, and more
- Key concepts in game AI development
Decision-Making Systems
- Implementing decision trees for simple AI logic
- Finite state machines for complex behaviors
- Behavior trees and modular AI design
Pathfinding and Navigation
- Understanding pathfinding algorithms
- Implementing A* algorithm for in-game navigation
- Optimizing pathfinding for large maps
Reinforcement Learning in Games
- Introduction to reinforcement learning concepts
- Training AI agents using Q-learning and deep Q-networks
- Designing reward structures for adaptive behaviors
Optimizing AI Performance
- Techniques for real-time AI performance optimization
- Managing resources and prioritizing AI tasks
- Debugging and troubleshooting AI systems
Advanced AI Techniques
- Procedural content generation with AI
- Simulating player-like behaviors
- Integrating AI with multiplayer gaming
Future Trends in Game AI
- AI and machine learning in next-generation gaming
- Ethical considerations in game AI
- Exploring AI-driven storytelling and narrative design
Summary and Next Steps
要求
- Basic understanding of programming concepts
- Familiarity with game development tools or frameworks
- Basic knowledge of AI principles
Audience
- Game developers
- AI enthusiasts
14 時間
お客様の声 (2)
実際のプロジェクトやゲームの作成中など、実際の問題の実践例とトラブルシューティング、つまり、良い実践と実際のプロジェクト作業がどのように行われるかを意味します。
Michal Orlinski - relayr sp. z o.o.
コース - VR rapid prototyping in Unity3D for architecture showcasing
機械翻訳
I liked the fact the all the questions we prepared beforehand were answered; also the 90 minute challenge to create a little game at the end was a good fun!
