Decision Making and Reinforcement Learning
Completed by Soham Pahari
April 30, 2025
47 hours (approximately)
Soham Pahari'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: Decision Intelligence
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Sampling (Statistics)
- Category: Machine Learning Algorithms
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Statistical Methods
- Category: Reinforcement Learning
- Category: Machine Learning Methods
- Category: Algorithms
- Category: Markov Model
- Category: Machine Learning
