- Reinforcement Learning
- Markov Model
- Probability Distribution
- Linear Algebra
- Algorithms
- Machine Learning
- Artificial Intelligence
Fundamentals of Reinforcement Learning
Completed by BOZHENG YU
July 3, 2023
15 hours (approximately)
BOZHENG YU'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
