Control Theory In Ai
The study of how agents can best interact with their environment to achieve a desired goal. The objective is to design algorithms that enable these agents to make optimal decisions, while taking into account the uncertainty of the environment.
Areas of application
- Robotics
- Autonomous vehicles
- Reinforcement learning
- Decision making under uncertainty
- Machine learning
Example
A self-driving car using control theory in AI to navigate through a busy city intersection, avoiding collisions and reaching its destination safely.