Solutions for course: "Applied Game Theory" taken at University of Novi Sad - Faculty of Technical Sciences
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Updated
Jan 18, 2021 - Jupyter Notebook
Solutions for course: "Applied Game Theory" taken at University of Novi Sad - Faculty of Technical Sciences
A collection of fucntions for cournot market games
This repository contains source code necessary to reproduce the results presented in the following paper: Multi-Agent Reinforcement Learning in Cournot Games Authors: Yuanyuan Shi and Baosen Zhang.
This is a project in C++ (Eclipse IDE) that I developed as an undergraduate and expanded as a postgrad. It follows the IO literature and solves Cournot, Bertrand and Stackelberg models based on the user's input.
Final university project, researching the impacts of AI on competition policy
Learning agents in oligopolies (Cournot / Stackelberg) Agent-based model
Desktop software for coordinating companies in a tree-like supply chain functioning according to the Cournot economic model
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