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.