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185530348
Unityではじめる機械学習・強化学習 Unity ML-Agents 実践ゲームプログラミング v2.2対応版
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Item #:
185530348
SAR 139
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What Stands Out
Comprehensive Content
Offers a thorough exploration of machine learning and reinforcement learning techniques, specifically tailored for Unity, making it accessible for both beginners and intermediate programmers.
Practical Applications
Includes practical game programming examples that enhance understanding, allowing users to apply complex concepts in real-world scenarios with ease and efficiency.
Latest Compatibility
Designed for version 2.2 compatibility, ensuring that readers have up-to-date resources and support for the latest features and improvements in Unity's ML-Agents toolkit.
Product Details
| Publisher | u30dcu30fcu30f3u30c7u30b8u30bfu30eb |
| Publication date | December 20, 2022 |
| Print length | 344 pages |
| ISBN-10 | 4862465447 |
| ISBN-13 | 978-4862465443 |
| Item Weight | 1 g |
| Dimensions | 9.25 x 7.17 x 0.87 inches (23.5 x 18.2 x 2.2 cm) |
Who Should Buy?
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Aspiring Game Developers
Those looking to learn practical game programming while leveraging machine learning concepts using Unity ML-Agents.
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Educators and Students
Suitable for academic settings where teaching machine learning and reinforcement learning through hands-on Unity projects is essential.
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AI Enthusiasts
Individuals interested in artificial intelligence implementation in games, particularly with reinforcement learning techniques using Unity.
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Beginners Without Experience
Complete beginners in programming and game development may struggle with the technical concepts and need prior knowledge.
Product Description
Unityではじめる機械学習・強化学習 Unity ML-Agents 実践ゲームプログラミング v2.2対応版
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布留川 英一 Online Games Editorial Review
Machine learning and reinforcement learning starting with Unity Unity ML-Agents Practical game programming v2.2 compatible version is an enlightening resource published on December 20, 2022, offering readers 344 pages of insights into game programming with Unity and machine learning techniques. This guide is tailored for practical applications and is especially relevant for those interested in the rapidly evolving field of reinforcement learning. The book's structure allows users to delve into both foundational and advanced topics, ensuring a comprehensive learning experience. Despite the mixed reviews, it provides frameworks crucial for experimentation within Unity's ML-Agents, making it a valuable addition to a developer's library.
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Pros
- Comprehensive guide on ML and Unity integration
- Practical focus on game programming
- Explores foundational and advanced topics
- Published by a reputable publisher
- Suitable for learners at various levels
Cons
- Some readers may find it academically challenging
Product Price History
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Features & Benefits
- Explore the world of AI through machine learning and reinforcement learning.
- Utilizes Unity ML-Agents for creating interactive game environments.
- Learn from scratch with comprehensive explanations and practical examples.
- Includes various learning methods and sample projects to guide you.
- Enhances game AI for various applications from automating tests to balancing gameplay.
- Ideal for beginners wanting to break into game development with AI.
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