Fundamentals of Reinforcement Learning
Completed by Lucas Shannon-Hill
May 8, 2020
15 hours (approximately)
Lucas Shannon-Hill'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: Markov Model
- Category: Algorithms
- Category: Reinforcement Learning
- Category: Machine Learning
- Category: Artificial Intelligence
- Category: Machine Learning Algorithms
- Category: Probability Distribution
