Practical Reinforcement Learning using Python – 8 AI Agents Free Course

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

Practical Reinforcement Learning using Python - 8 AI Agents

What you will 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:

Would you like to figure out how to fabricate state of the art exchanging calculations that influence todays innovation? Or on the other hand would you like to gain proficiency with the devices and abilities that are viewed as the best in class of Artificial Intelligence? Or then again would you actually like to learn Reinforcement Learning in a Highly down to earth way?

In the wake of finishing this course you will actually want to:

Fabricate any support learning calculation in any climate

Use Reinforcement Learning for your own logical investigations

Tackle issues utilizing Reinforcement Learning

Influence Cutting Edge Technologies for your own task

Expert OpenAI rec center’s

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

What you will 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:

Would you like to figure out how to construct state of the art exchanging calculations that influence todays innovation? Or on the other hand would you like to get familiar with the apparatuses and abilities that are viewed as the best in class of Artificial Intelligence? Or then again would you very much like to learn Reinforcement Learning in a Highly viable manner?

In the wake of finishing this course you will actually want to:

  • Construct any support learning calculation in any climate
  • Use Reinforcement Learning for your own logical tests
  • Tackle issues utilizing Reinforcement Learning
  • Influence Cutting Edge Technologies for your own venture
  • Expert OpenAI rec center’s

For what reason would it be a good idea for you to pick this course?

This course controls you through a bit by bit cycle of building best in class exchanging calculations and guarantees that you leave with the down to earth abilities to fabricate any support acquiring calculation thought you have and execute it productively.

This is what’s remembered for the course:

  • Atari Reinforcement Learning Agent
  • Construct Q-Learning without any preparation and carry out it in Autonomous Taxi Environment
  • Assemble Deep Q-Learning without any preparation and execute it in Flappy Bird
  • Assemble Deep Q-Learning without any preparation and execute it in Mario
  • Assemble a Stock Reinforcement Learning Algorithm
  • Assemble a canny vehicle that can finish different conditions
  • Furthermore, substantially more!
This course is for you if …
  • You’re keen on state of the art innovation and applying it basically
  • You’re energetic about Deep Learning/AI
  • Need to find out about state of the art innovations!
  • Need to learn support learning by doing cool undertakings!
Course essentials:

Python!

Who this course is for:

  • Python Developers
  • Coding Enthusiast
  • People Interested in Cutting-Edge Technology

Course content:

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

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