ExpiredReinforcement Learning #1: Fundamentals

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.