- Probability Distribution
- Reinforcement Learning
- Machine Learning
- Algorithms
- Statistical Methods
- Deep Learning
- Decision Support Systems
- Markov Model
- Data-Driven Decision-Making
- Simulations
- Artificial Intelligence and Machine Learning (AI/ML)
Decision Making and Reinforcement Learning
Completed by Mohamed Desoky
December 8, 2023
47 hours (approximately)
Mohamed Desoky'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
