Explore the intricacies of artificial intelligence in StarCraft through this comprehensive lecture on video game AI research. Delve into the complexities of real-time strategy games, examining the challenges of build order planning, optimization, and search systems. Investigate combat evaluation techniques, multi-unit control strategies, and the progression of combat AI. Learn about the specific applications of AI in StarCraft, including build order make span, heuristics, and portfolio greedy search algorithms. Gain insights into the evolution of StarCraft AI competitions and the ongoing battle between human players and machine intelligence in esports.
Overview
Syllabus
Introduction
Properties
State Space
RealTime Strategy
Esports
Human vs Machine
Build Order Planning Optimization
Build Order Search System
Build Order Make Span
Heuristics
Combat
Evaluation
Multiunit control
Combat search
Portfolio greedy search
Portfolio greedy algorithm
Combat AI progression
Starcraft AI
Starcraft Competitions
Taught by
Dave Churchill
