Reinforcement Learning with Artificial Intelligence in Python - Learner Ground

Reinforcement Learning with Artificial Intelligence in Python

Description

Course Curriculum

Module: 1 – Introduction and Course Outline

Introduction and Course Overview
00:00
What Is Reinforcement Learning?
00:00
Course Resources and Code Access
00:00
Strategy for Successfully Completing the Course
00:00

Module: 2 – Revisiting the Multi-Armed Bandit Problem

Module: 3 – Developing an Intelligent Tic-Tac-Toe Agent

Module: 4 – Markov Decision Processes (MDPs)

Module: 5 – Dynamic Programming Methods

Module: 6 – Monte Carlo Methods

Module: 7 – Temporal Difference Learning Techniques

Module: 8 – Function Approximation Methods

Module: 9 – Appendix and Additional Resources