Udemy – Reinforcement Learning with Pytorch 2020-2 – Full Version

Description

Reinforcement Learning with Pytorch is a course in reinforcement learning and artificial intelligence algorithms using Python, Pytorch and OpenAI Gym. Artificial intelligence is dynamically expanding its applications in our lives. This course teaches a variety of topics focusing on important and practical details. We will start with the basics and expand our understanding. This course covers a variety of topics such as introduction to reinforcement learning, Markov decision process, algebraic and stochastic environments, Bellman’s equation, neural networks, deep reinforcement learning , DQN and improvement, learning from video content and reproduction of a number of celebrity covers. reinforcement learning.

This course is suitable for anyone interested in artificial intelligence, data science, machine learning, deep learning, and reinforcement learning.

What you will learn in the Reinforcement Learning with Pytorch course:

Principles of Reinforcement Learning
Tabular methods
groom equation
Q-learning
Deep Reinforcement Learning
Learn from video input

Course specifications

Publisher: Udemy
Instructors: Atamai AI Team
French language
Level: Initiation
Number of lessons: 69
Duration: 7 hours and 14 minutes

Course topics in 2020/8:

Reinforcement learning with Pytorch content

Prerequisites for the Reinforcement Learning with Pytorch course:

Basic Python knowledge is required. Basics of AI / Machine Learning / Pytorch – nice to have but not totally necessary. Only open source tools will be used.