This course gives fundamentals of Reinforcement Learning in a clear and precise manner. The course is broken down into 10 video lectures.

• 12 Lessons

• 1 hour of video tutorial

• Audience: Beginners

• Course 1 of 10 (Reinforcement Learning)

• Introductory knowledge of Reinforcement Learning concepts

Course contents are:

• Overview

• Agent and Environment

• History and State

• Markov Decision Process (MDP)

• Components of RL Agent

• Categorising RL Agents

• Learning and Planning

• Exploration and Exploitation

• Prediction and Control

After completing this course one should be able to:

• Understand the basics of Reinforcement Learning (RL).

• Understand Key terminologies used in RL.

• Get ready to dive into Advanced courses on RL.