Game Dynamics: Best Practices in Procedural and Dynamic Game Content Generation, Korn Oliver, Lee Newton

Автор: Shaker Noor, Togelius Julian, Nelson Mark J.
Название: Procedural Content Generation in Games
ISBN: 3319826433 ISBN-13(EAN): 9783319826431
Издательство: Springer
Рейтинг:
Цена: 43780.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the most up-to-date coverage of procedural content generation (PCG) for games, specifically the procedural generation of levels, landscapes, items, rules, quests, or other types of content.

Автор: Noor Shaker; Julian Togelius; Mark J. Nelson
Название: Procedural Content Generation in Games
ISBN: 3319427148 ISBN-13(EAN): 9783319427140
Издательство: Springer
Рейтинг:
Цена: 55890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the most up-to-date coverage of procedural content generation (PCG) for games, specifically the procedural generation of levels, landscapes, items, rules, quests, or other types of content. Each chapter explains an algorithm type or domain, including fractal methods, grammar-based methods, search-based and evolutionary methods, constraint-based methods, and narrative, terrain, and dungeon generation. The authors are active academic researchers and game developers, and the book is appropriate for undergraduate and graduate students of courses on games and creativity; game developers who want to learn new methods for content generation; and researchers in related areas of artificial intelligence and computational intelligence.

Автор: Bilgin Enes
Название: Mastering Reinforcement Learning with Python: Build next-generation, self-learning models using reinforcement learning techniques and best practices
ISBN: 1838644148 ISBN-13(EAN): 9781838644147
Издательство: Неизвестно
Рейтинг:
Цена: 60070.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on expert-level explanations and implementations of scalable reinforcement learning algorithms and approaches. Starting with the fundamentals, the book covers state-of-the-art methods from bandit problems to meta-reinforcement learning. You`ll also explore practical examples inspired by real-life problems from the industry.