- Популярные видео
- Авто
- Видео-блоги
- ДТП, аварии
- Для маленьких
- Еда, напитки
- Животные
- Закон и право
- Знаменитости
- Игры
- Искусство
- Комедии
- Красота, мода
- Кулинария, рецепты
- Люди
- Мото
- Музыка
- Мультфильмы
- Наука, технологии
- Новости
- Образование
- Политика
- Праздники
- Приколы
- Природа
- Происшествия
- Путешествия
- Развлечения
- Ржач
- Семья
- Сериалы
- Спорт
- Стиль жизни
- ТВ передачи
- Танцы
- Технологии
- Товары
- Ужасы
- Фильмы
- Шоу-бизнес
- Юмор
Video Game Level Design as a Multi Agent Reinforcement Learning Problem
AIIDE 2025 presentation for the paper "Video Game Level Design as a Multi-Agent Reinforcement Learning Problem" by Sam Earle, Zehua Jiang, Eugene Vinitsky and Julian Togelius, presented by Sam Earle on November 12, 2025 at the University of Alberta.
Paper: https://ojs.aaai.org/index.php/AIIDE/article/view/36807
Видео Video Game Level Design as a Multi Agent Reinforcement Learning Problem канала AIIDE Conference
Paper: https://ojs.aaai.org/index.php/AIIDE/article/view/36807
Видео Video Game Level Design as a Multi Agent Reinforcement Learning Problem канала AIIDE Conference
Комментарии отсутствуют
Информация о видео
12 января 2026 г. 8:34:39
00:20:46
Другие видео канала
Isofict: Toward Continuous Interactive Fiction
Behavioral evaluation of Hanabi Rainbow DQN agents and Rule-based agents
Algorithms of Artistic Style and Pose Estimation
Step: A Highly Expressive Text Generation Language
Artificial Intelligence as an Art Director
Procedural Content Generation in Games: A Survey with Insights on Emerging LLM Integration
AIIDE 2021 Opening Remarks
A Demonstration of Anhinga: A Mixed-Initiative EPCG Tool for Snakebird
Playing Atari Space Invaders with Sparse Cosine Optimized Policy Evolution
HeadSpace: Incorporating Action Failure and Character Beliefs into Narrative Planning
Journeys in the Dark: Towards Game Master AI in Complex Board Games
A Declarative PCG Tool for Casual Users
The Harmony Index: Evaluating Predicting and Visualizing Effectiveness in Multi Agent Team Dynamics
Pixie: Code Level Mechanic Generation for Game Designers
Generalized Entropy and Solution Information for Measuring Puzzle Difficulty
Starcraft Competition Results
Generic Guard AI in Stealth Game with Composite Potential Fields
From Unstable to Playable: Stabilizing Angry Birds Levels via Object Segmentation
Level2Image: A Utility for Making 2D Tile Based Level Images with Overlays
Mix Tapes, Collages, and Other Folk Infrastructure for AI
Controlling Perceived Emotion in Symbolic Music Generation with Monte Carlo Tree Search
