Reinforcement Learning #1 : Introduction to Reinforcement Learning | Artificial Intelligence

This class introduces you to the fundamentals of Reinforcement Learning. So no prior knowledge is expected for taking this course. After completing this class, students will gain familiarity with the basic Reinforcement Learning terminologies and will be ready to dive into intermediate and advanced level courses on Reinforcement Learning.

The class 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

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