[Update Links] Practical Reinforcement Learning using Python – 8 AI Agents | Udemy

Practical Reinforcement Learning using Python – 8 AI Agents | Udemy
English | Size: 2.41 GB
Genre: eLearning

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

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:


Who this course is for:
Python Developers
Coding Enthusiast
People Interested in Cutting-Edge Technology



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