Modern Reinforcement Learning: Deep Q Learning in PyTorch

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Udemy

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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

Data Science, Deep Learning, Development

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.

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Modern Reinforcement Learning: Deep Q Learning in PyTorch

provided by Udemy

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