12.2 Identify the Reinforcement Learning Application

Can you spot where hidden decision-making is shaping the world around you? 🔍

Note

Instructions: For each task presented, determine whether it can be solved using:

  • Supervised Learning
  • Unsupervised Learning
  • Multi-Armed Bandit
  • Classical Reinforcement Learning
  • Deep Reinforcement Learning

Form groups of two or more and discuss the most appropriate approach for each application.

Reinforcement Learning Framework

Task 1: Email Spam Detection

Task 2: Customer Segmentation for a Retail Store

Task 3: Online Ad Optimization

Task 4: Warehouse Robot Path-finding

Task 5: Fine-tuning LLMs with Human Feedback