Game Theory with Python

4.4
44 個評分
提供方
Coursera Project Network
4,927 人已註冊
在此指導項目中,您將:

Gain conceptual understanding of Static and Dynamic Games

Understand Pure and Mixed strategies of a game and learn to interpret the results

Learn to implement Nash Games using Python packages Nashpy and Axelrod

Clock2 hours
Intermediate中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

Game TheoryPython ProgrammingSolution Concept

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. Two player Static Games

  2. Mixed Strategies and Utilities

  3. Pure Strategy Nash Equilibrium

  4. Multiple Nash Equilibria

  5. Zero Sum Games and Mixed Strategies

  6. Two player Dynamic Games

  7. Analysis of Dynamic Games

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

審閱

來自GAME THEORY WITH PYTHON的熱門評論

查看所有評論

常見問題

常見問題

還有其他問題嗎?請訪問 學生幫助中心