AI029

Reinforcement Learning: An Introduction

The Reinforcement Learning Problem

Lecture

Lesson 1

Date

2026-04-21

Teacher

AI Tutor

Duration

60 Mins

Learning Objectives

Define reinforcement learning and the agent-environment interface.
Distinguish reinforcement learning from supervised and unsupervised learning paradigms.
Identify the four main sub-elements of a reinforcement learning system: policy, reward, value function, and model.
Explain the significance of the exploration-exploitation trade-off in learning systems.