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.
Learning agents in oligopolies (Cournot / Stackelberg) Agent-based model
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.
Desktop software for coordinating companies in a tree-like supply chain functioning according to the Cournot economic model
Game-theory equilibrium solvers: Cournot, bimatrix Nash by support enumeration, Bayesian Cournot and grim-trigger thresholds, benchmarked against Gibbons' textbook examples
Final university project, researching the impacts of AI on competition policy
Official Agent Skills for Cournot prediction-market intelligence
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