Modern Reinforcement Learning: Deep Q Learning in PyTorch

Online Course

Udemy
Modern Reinforcement Learning: Deep Q Learning in PyTorch

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

Prerequisites & Facts

Modern Reinforcement Learning: Deep Q Learning in PyTorch

Course Topic

Development, ECMAscript, Web Development

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

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

Degree

Certificate

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