Image by Manfred Steger from Pixabay

Contents:

1: An Introduction to Reinforcement Learning

Learning with Uncertainty Key Concepts of Modern Reinforcement Learning The Exploration-Exploitation Trade-off Evaluating Actions

2: Reinforcement Learning Framework

3: Dynamic Programming

4: Monte-Carlo Methods

5: Temporal-Difference Learning

6: Policy Gradient Methods

7: The Learning Automata Approach

8: Deep Reinforcement Learning