Fundamentals of Reinforcement Learning
Completed by Hang Cheung
March 1, 2026
15 hours (approximately)
Hang Cheung's account is verified. Coursera certifies their successful completion of Fundamentals of Reinforcement Learning
What you will learn
Formalize problems as Markov Decision Processes
Understand basic exploration methods and the exploration / exploitation tradeoff
Understand value functions, as a general-purpose tool for optimal decision-making
Know how to implement dynamic programming as an efficient solution approach to an industrial control problem
Skills you will gain
- Category: Agentic systems
- Category: Machine Learning
- Category: Machine Learning Algorithms
- Category: Reinforcement Learning
- Category: Algorithms
- Category: Decision Intelligence
- Category: Markov Model
- Category: Artificial Intelligence
