Fundamentals of Reinforcement Learning
Completed by Andrés Puerto Lara
January 18, 2021
15 hours (approximately)
Andrés Puerto Lara'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: Reinforcement Learning
- Category: Agentic systems
- Category: Machine Learning
- Category: Algorithms
- Category: Machine Learning Algorithms
- Category: Markov Model
- Category: Decision Intelligence
- Category: Artificial Intelligence
