Modern Reinforcement Learning: Deep Q Learning in PyTorch

Online Course

Udemy

What is the course about?
Prerequisites & Facts
Cost, Certificate & Degree
Reviews & Experiences

What is the course about?

Modern Reinforcement Learning: Deep Q Learning in PyTorch

The course Modern Reinforcement Learning: Deep Q Learning in PyTorch is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

How to Turn Deep Reinforcement Learning Research Papers Into Agents That Beat Classic Atari Games

Course description

Modern Reinforcement Learning: Deep Q Learning in PyTorch

How to read and implement deep reinforcement learning papers
How to code Deep Q learning agents
How to Code Double Deep Q Learning Agents
How to Code Dueling Deep Q and Dueling Double Deep Q Learning Agents
How to write modular and extensible deep reinforcement learning software

Some College Calculus
Exposure To Deep Learning
Comfortable with Python

5.5 hours on-demand video
Full lifetime access
Access on mobile and TV
Certificate of Completion
Phil Tabor

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Prerequisites & Facts

Modern Reinforcement Learning: Deep Q Learning in PyTorch

Course Topic

Amazon FBA, Finance & Accounting, Money Management Tools

University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Modern Reinforcement Learning: Deep Q Learning in PyTorch

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.

Udemy

Modern Reinforcement Learning: Deep Q Learning in PyTorch

provided by Udemy

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School: Udemy

Topic: Data Science, Deep Learning, Development

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