Adversarial Search
- Offered byUDACITY
Adversarial Search at UDACITY Overview
Adversarial Search
at UDACITY
Duration | 4 weeks |
Mode of learning | Online |
Difficulty level | Advanced |
Credential | Certificate |
Adversarial Search at UDACITY Highlights
Adversarial Search
at UDACITY
- Flexible learning program
- Technical mentor support
- Practical tips and industry best practices
- Unlimited submissions and feedback loops
- Additional suggested resources to improve
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Adversarial Search at UDACITY Course details
Adversarial Search
at UDACITY
What are the course deliverables?
- Minimax search
- State space search
- Multi-agent training
More about this course
- Enhance Your AI Skills with Adversarial Training. Learn multi-agent environment search using game theory's minimax theorem. Start learning today with Udacity!
Adversarial Search at UDACITY Curriculum
Adversarial Search
at UDACITY
Introduction to Adversarial Search
Search in Multiagent Domains
Optimizing Minimax Search
Build an Adversarial Game Playing Agent
Extending Minimax Search
Additional Adversarial Search Topics
Adversarial Search at UDACITY Faculty details
Adversarial Search
at UDACITY
Thad Starner
had Starner is the director of the Contextual Computing Group (CCG) at Georgia Tech and is also the longest-serving Technical Lead/Manager on Google's Glass project
Adversarial Search at UDACITY Entry Requirements
Adversarial Search
at UDACITY
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