Fundamentals of Reinforcement Learning
Completed by Guillaume Simon
February 8, 2020
15 hours (approximately)
Guillaume Simon'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: Decision Intelligence
- Category: Agentic systems
- Category: Algorithms
- Category: Reinforcement Learning
- Category: Artificial Intelligence
- Category: Machine Learning
- Category: Markov Model
- Category: Machine Learning Algorithms
