Thad Starner
Professor of Computer Science, Georgia Tech
Adversarial Search
Learn how to search in multi-agent environments (including decision making in competitive environments) using the minimax theorem from game theory. Then build an agent that can play games better than any human.
- Course
- Advanced
- 5 hours
- Updated: Dec 23, 2025
Subscription · Monthly
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- Unlimited access to hundreds of top-rated courses
- Hands-on projects with expert feedback
- Personalized career coaching and interview prep
- Program Certificates
Skills you'll learn
3 skills
- Minimax search
- State space search
- Multi-agent training
Prerequisites
9 prerequisites
Prior to enrolling, you should have the following knowledge:
- Object-oriented Python
- Constraint satisfaction problems
- Linear algebra
- Search algorithms
- Basic descriptive statistics
You will also need to be able to communicate fluently and professionally in written and spoken English.
Course Outline
- 6 lessons
- 1 project
Program Instructors
1 instructor
Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:
Thad Starner
Professor of Computer Science, Georgia Tech
Subscription · Monthly
- Cancel Anytime
- Unlimited access to hundreds of top-rated courses
- Hands-on projects with expert feedback
- Personalized career coaching and interview prep
- Program Certificates