Game Theory with Python
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.
由 OO 提供2020年8月7日
a very interesting project to learn basics of python programming in game theory
由 LM 提供2021年3月4日
Good introduction and the exercises are very well structerd and the pace is easy to follow. Beware that the sound quality is not great.