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Practical Reinforcement Learning using Python – 8 AI Agents

Practical Reinforcement Learning using Python – 8 AI Agents

Use Cutting-Edge Reinforcement Learning algorithms in Environments like Flappy Bird, Mario, Stocks, and Much More!!

What you’ll learn

Practical Reinforcement Learning using Python – 8 AI Agents

  • Practical Reinforcement Learning
  • Master Open AI Gyms
  • Flappy Bird Agent
  • Mario Agent
  • Stocks Agents
  • Car Agents
  • Space Invaders Agent
  • and Much More!!
  • Build Reinforcement Learning Agents in Any Environment

Requirements

  • Just Python!!
  • Knowing Neural Networks, but not necessary

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 today’s technology? Or do you want to learn the tools and skills that are considered the state of 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
  • Learn how to build Deep Q-Learning from scratch and implement it in Mario
  • Build a Stock Reinforcement Learning Algorithm
  • Build an 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
  • Last updated 4/2021
Content From: https://www.udemy.com/course/practical-reinforcement-learning/
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