Torrent details for "Udemy - Practical Reinforcement Learning using Python - 8 AI Agents"    Log in to bookmark

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07-05-2021 07:03
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Description

Join the most comprehensive Reinforcement Learning course on Udemy and learn how to build Amazing Reinforcement Learning Applications!

Do you want to learn how to build cutting edge trading algorithms that leverage todays technology? Or do you want to learn the tools and skills that are considered the state of the art of Artificial Intelligence? Or do you just want to learn Reinforcement Learning in a Highly practical way?

After completing this course you will be able to:

   Build any reinforcement learning algorithm in any environment
   Use Reinforcement Learning for your own scientific experiments
   Solve problems using Reinforcement Learning
   Leverage Cutting Edge Technologies for your own project
   Master OpenAI gym’s

Why should you choose this course?

This course guides you through a step-by-step process of building state of the art trading algorithms and ensures that you walk away with the practical skills to build any reinforcement learning algorithm idea you have and implement it efficiently.

Here’s what’s included in the course:

   Atari Reinforcement Learning Agent
   Build Q-Learning from scratch and implement it in Autonomous Taxi Environment
   Build Deep Q-Learning from scratch and implement it in Flappy Bird
   Build Deep Q-Learning from scratch and implement it in Mario
   Build a Stock Reinforcement Learning Algorithm
   Build a intelligent car that can complete various environments
   And much more!

This course is for you if …

   You’re interested in cutting edge technology and applying it in practical ways
   You’re passionate about Deep Learning/AI
   Want to learn about cutting-edge technologies!
   Want to learn reinforcement learning by doing cool projects!

Course prerequisites:

   Python!

Who this course is for:

   Python Developers
   Coding Enthusiast
   People Interested in Cutting-Edge Technology

Requirements

   Just Python!!
   Knowing Neural Networks, but not necessary

Last Updated 4/2021

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