Learn Deep Qlearning Online

Course outline

This course will cover the following topics:-

(1) Introduction

(2) The Q-learning algorithm

(3) Learning rate

(4) Discount factor

(5) Initial conditions

(6) Function approximation

(7) Quantization

(8) Limitations

Prerequisite knowledge

You should have a reasonable background of Machine Learning topics

Learning outcomes

After completing this course you will understand Q-learning

Software / Hardware requirements

N/A

Policy Gradients

2 hours session

Value Function Approximation (Part 3)

2 hours session

Value Function Approximation (Part 2)

2 hours session

Want to upskill or acquire a new skill?

Start Learning!