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
  • 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

  • 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 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:

Course content

8 sections • 58 lectures • 5h 3m total length
  • Introduction
  • SpaceInvaders Agent
  • Autonomous Taxi Agent
  • Flappy Bird Reinforcement Learning Agent
  • Mario Reinforcement Learning Agent
  • Stocks Reinforcement Learning Agents
  • Car Reinforcement Learning Agents
  • Code for Course
Created by: Samuel Boylan-Sajous, Developer & Teacher
Last updated 4/2021
English
English [Auto]
Direct Download Available
Bestseller
Rating: 4.4 out of 5
(142 ratings)
22,017 students
https://www.udemy.com/course/practical-reinforcement-learning/

Download link


Related Posts

Add a Comment

Your email address will not be published. Required fields are marked *