Module 4: Recommender System Application
This module introduces you to working with Recommender Systems in the context of RL.
0Module 4 Learning Outcomes
1Intro to recommender systems
2Benefits of RL for recommendations
3Drawbacks of RL for recommendations
4Recommender systems difficulty
5Recommender env: design
6Big-picture
7Recommender rewards
8Sugar crash
9Recommender env: implementation
10Improving the user model
11Greedy vs. random
12Greedy vs. random continued
13Solving the environment
14Recommender rewards
15Discount factor
16Offline RL