Replication of "Artificial Intelligence, Algorithmic Pricing, and Collusion" by Calvano, Calzolari, Denicolò, Pastorello (2020) in Python, Matlab and Julia.

simulation platform for algorithmic pricing

Q-learning oligopoly simulation (Calvano et al., 2020) — high-fidelity Python reproduction with ≥ 95 % accuracy

Template for Collusive User Detection Tool project

BSc Thesis: Investigation of the collusive tendencies of Q-learning and DQN agents in economic environments.

lol

Can regulators break algorithmic collusion once it's learned? A Q-learning Bertrand duopoly replication testing four regulatory interventions and their persistence after re-convergence.

Source files of my doctoral dissertation for the academic degree of Doctor of Engineering from KIT.

Advanced market collusion detection achieving 93% accuracy using ML + LLMs, with real-time monitoring dashboards and validated economic modeling.