Reinforcement Learning: Supervised, Unsupervised, or Something Else? (When to Use Each)

By the end of this tutorial, you will clearly understand:

• Why RL looks similar to supervised learning—but behaves completely differently,
• Why unsupervised learning is closer philosophically, yet still not the right definition,
• When RL is the right tool, and when supervised is faster, cheaper, safer, and better,
• How cost, risk, and feedback shape the correct choice,
• How hybrid pipelines (Behavioral Cloning (BC) –> RL) work in the real world,
• How to test your problem using a simple decision framework.

Link: https://www.reinforcementlearningpath.com/reinforcement-learning-supervised-unsupervised-or-something-else-when-to-use-each