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Reinforcement Learning with Python Explained for Beginners

You're reading from Reinforcement Learning with Python Explained for Beginners Master the fundamentals of reinforcement learning

Product type Video

Published in Feb 2021

Publisher Packt

ISBN-13 9781801072274

Length 9hrs 7mins

Edition 1st Edition

Languages

Python

Tools

OpenAI Gym

Concepts

Reinforcement Learning

Author (1):

AI Sciences

View More author details

Table of Contents (12) Chapters

1. Introduction to Course and Instructor FREE CHAPTER

Introduction to Course and Instructor

2. Motivation Reinforcement Learning

3. Terminology of Reinforcement Learning

4. GridWorld Example

5. Markov Decision Process Prerequisites

6. Elements of Markov Decision Process

7. More on Reward

8. Solving Markov DP

9. Value Approximation

10. Temporal Differencing - Q Learning

11. TD Lambda

12. Project Frozenlake (Open AI Gym)

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Authors (1)

AI Sciences

AI Sciences

AI Sciences is a group of experts, PhDs, and practitioners of AI, ML, computer science, and statistics. Some of the experts work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. They have produced a series of courses mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, their objective was to help only those who wish to understand these techniques more easily and to be able to start without too much theory. Today, they also publish more complete courses for a wider audience. Their courses have had phenomenal success and have helped more than 100,000 students master AI and data science.

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