Bachelor Project:

Exploring Multi-Agent Competition Dynamics: A Simulation Study on Reinforcement Learning and Collusion

The code that produces all the relevant figures for the paper can be found in $\texttt{main.ipynb}$. The files $\texttt{threeplayers.py}$ and $\texttt{twoplayers.py}$ are python modules that implement the sequential oligopoly games with two and three agents, respectively. $\texttt{utility.py}$ is a module consisting of a loose collection of utilities used in certain computations such as the Edgeworth Cycle benchmarks. $\texttt{runtime.ipynb}$ is used for the runtime analysis presented in the paper.

To run the Jupyter Notebook ($\texttt{ipynb}$) files, you can use the Jupyter Notebook application from a distribution like Anaconda (https://www.anaconda.com/).