Fundamentals of Reinforcement Learning
Completed by Mikhail Sidorov
June 29, 2020
15 hours (approximately)
Mikhail Sidorov'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: Machine Learning Algorithms
- Category: Artificial Intelligence
- Category: Decision Intelligence
- Category: Agentic systems
- Category: Machine Learning
- Category: Reinforcement Learning
- Category: Algorithms
