YoVDO

Grid Representations in Video Game AI - Lecture 5

Offered By: Dave Churchill via YouTube

Tags

Artificial Intelligence Courses Game Development Courses C++ Courses Localization Courses Pathfinding Courses SFML Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore grid representations in video game AI through this lecture from Memorial University's COMP4303 course on Artificial Intelligence for Video Games. Delve into various aspects of grid-based systems, including space representation, localization, optimization techniques, and their applications in games like StarCraft. Learn about the advantages and disadvantages of grid representations, task location grids, and buildable grids. Discover strategies for dealing with large grids, such as hierarchical grids and grid optimizations. Gain insights into grid movement, pathfinding, and the properties of different representation methods. This comprehensive overview equips you with essential knowledge for implementing efficient grid-based AI systems in video game development.

Syllabus

Intro
Space Representation
Representation Considerations
Grid Representations
StarCraft Grid
Grids: Localization
Grid World Games
Task Location Grid
StarCraft 2 Buildable Grid
Rectangle Optimization
Grid Movement
Grid-Pathfinding
Grids: Advantages
Grid Disadvantage: Localization
Grids: Disadvantages
Representation Properties
Dealing With Large Grids
Hierarchical Grids
Grid Optimizations


Taught by

Dave Churchill

Related Courses

Creative Programming for Digital Media & Mobile Apps
University of London International Programmes via Coursera
Online Games: Literature, New Media, and Narrative
Vanderbilt University via Coursera
Game Design Concepts
Canvas Network
General Game Playing
Stanford University via Coursera
Program Arcade Games - Learn Computer Science
Independent