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AI Algorithms for Gaming Preview

AI Algorithms for Gaming

With Eduardo Corpeño Liked by 652 users
Duration: 2h 5m Skill level: Advanced Released: 4/10/2020

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Course details

In 1997, an IBM computer named Deep Blue beat Gerry Kasparov, a world chess champion, after a six-game match. While AI technology has grown in exciting, and often revolutionary, ways since Deep Blue's victory at the chessboard in the late 90s, many of the techniques it implemented are still relevant today. In this course, explore some of these techniques as you learn how to leverage key AI algorithms to create two-player, turn-based games that are challenging enough to keep players guessing. Instructor Eduardo Corpeño covers using the minimax algorithm for decision-making, the iterative deepening algorithm for making the best possible decision by a deadline, and alpha-beta pruning to improve the running time, among other clever approaches. Plus, he gives you a chance to try out these techniques yourself as he steps through the development of a cat trap game using Python.

Skills you’ll gain

Meet the instructor

Learner reviews

4.6 out of 5

153 ratings
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  • Khaled M. Ali Aklan Albanna Khaled M. Ali Aklan Albanna

    Khaled M. Ali Aklan Albanna

    IT Advisor | AI (Expert Systems & Data Science) | Banking and ERP Systems

    5/5 August 29, 2022
    Excellent practice with good analysis.
    Helpful · Report
  • Hüseyin Can Çelikkol Hüseyin Can Çelikkol

    Hüseyin Can Çelikkol

    Student in Karadeniz Technical University. Artificial Intelligence enthusiast

    5/5 April 17, 2022
    thats going pretty good, I'm dealing with a project like a AI for Battleship game. That's why I'm watching that lesson.
    Helpful · Report
  • Andrey Ermishin Andrey Ermishin

    Andrey Ermishin

    Data Scientist Python developer (Pandas,Sklearn,TensorFlow,PyTorch), Algorithms, Git, SQL.

    5/5 March 12, 2022
    Great delivery by lecturer! Like best professors on Corsera, I liked it! Now I know more)
    Helpful · Report

Contents

What’s included

  • Practice while you learn 1 exercise file
  • Learn on the go Access on tablet and phone

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