100% Discount || Practical Reinforcement Learning using Python – 8 AI Agents

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    Practical Reinforcement Learning using Python – 8 AI Agents

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

    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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