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学生对 Coursera Project Network 提供的 Game Theory with Python 的评价和反馈

4.3
75 个评分

课程概述

In this 2-hour long project-based course, you will learn the game theoretic concepts of Two player Static and Dynamic Games, Pure and Mixed strategy Nash Equilibria for static games (illustrations with unique and multiple solutions), Example of Axelrod tournament. You will be building two player Nash games and analyze them using Python packages Nashpy and Axelrod, especially built for game theoretic analyses. Also, you will gain the understanding of computational mechanisms related to the aforementioned concepts. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

热门审阅

LM

Mar 4, 2021

Good introduction and the exercises are very well structerd and the pace is easy to follow. Beware that the sound quality is not great.

OO

Aug 7, 2020

a very interesting project to learn basics of python programming in game theory

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1 - Game Theory with Python 的 12 个评论(共 12 个)

创建者 Jorge S

Aug 9, 2020

创建者 oussama1995

Aug 8, 2020

创建者 Ahnaf T A

Aug 22, 2020

创建者 Pascal U E

Aug 21, 2020

创建者 Luís M B d M

Mar 4, 2021

创建者 Manojkumar

Sep 27, 2020

创建者 Wadekar S B

Aug 17, 2020

创建者 Jesus M Z F

Jul 28, 2020

创建者 Komal W

Jul 27, 2020

创建者 Buhong L

Sep 6, 2020

创建者 Shazia M S

Oct 14, 2020

创建者 Piotr Z

Jan 24, 2021