Decision Making and Reinforcement Learning
Completed by KEAN TANG
October 25, 2023
47 hours (approximately)
KEAN TANG'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: Machine Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Deep Learning
- Category: Reinforcement Learning
- Category: Machine Learning Methods
- Category: Statistical Methods
- Category: Machine Learning Algorithms
- Category: Sampling (Statistics)
- Category: Algorithms
- Category: Applied Machine Learning
- Category: Markov Model
- Category: Decision Intelligence
