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1
Introduction
2
Properties
3
State Space
4
RealTime Strategy
5
Esports
6
Human vs Machine
7
Build Order Planning Optimization
8
Build Order Search System
9
Build Order Make Span
10
Heuristics
11
Combat
12
Evaluation
13
Multiunit control
14
Combat search
15
Portfolio greedy search
16
Portfolio greedy algorithm
17
Combat AI progression
18
Starcraft AI
19
Starcraft Competitions
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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.

StarCraft AI Research - Lecture 14

Dave Churchill
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