Decision Making and Reinforcement Learning
Completed by Cuong Tran
March 17, 2025
47 hours (approximately)
Cuong Tran's account is verified. Coursera certifies their successful completion of Decision Making and Reinforcement Learning
What you will learn
Map between qualitative preferences and appropriate quantitative utilities.
Model non-associative and associative sequential decision problems with multi-armed bandit problems and Markov decision processes respectively
Implement dynamic programming algorithms to find optimal policies
Implement basic reinforcement learning algorithms using Monte Carlo and temporal difference methods
Skills you will gain
- Category: Markov Model
- Category: Reinforcement Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Deep Learning
- Category: Analysis
- Category: Machine Learning Algorithms
- Category: Algorithms
- Category: Machine Learning Methods
- Category: Statistical Methods
- Category: Machine Learning
- Category: Decision Intelligence
