COURSE DESCRIPTION
Discover reinforcement learning principles and how agents interact with environments.
CERTIFICATION
Certified in reinforcement learning foundations.
LEARNING OUTCOMES
- Implement Q-learning and policy gradient methods.
- Build simple RL agents for real-world tasks.
Course Features
- Lecture 0
- Quiz 0
- Duration 54 hours
- Skill level All levels
- Language English
- Students 28
- Assessments Yes