by Amit Shekhar · 2 August 2019
What is Reinforcement Learning?
Reinforcement Learning, the branch of machine learning where an agent learns to make decisions by interacting with an environment and getting rewards or penalties for its actions.
Read on Outcome School ↗then come back to lock it in
Before you read, guessHow does the agent acquire knowledge through its actions and feedback?
Ten seconds, a guess, then read — a wrong guess still makes the answer stick.
What this article covers
- The Big Picture
- What is Reinforcement Learning?
- A Simple Real-World Analogy
- The Building Blocks of RL
- The Reinforcement Learning Loop
- Reinforcement Learning vs Supervised vs Unsupervised Learning
- Episode, Return, and Discount Factor
- Exploration vs Exploitation
- Common Families of RL Algorithms
- Where Is Reinforcement Learning Used?
- Why Reinforcement Learning Is Hard
The article lives on outcomeschool.com. Read it there, then come back: the tutor in the margin has read it and will answer questions, and the questions below check what stayed.