Multi-agent LLM simulations testing algorithmic collusion and coordination breakdown in oligopoly markets.
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Updated
Jul 9, 2025 - Jupyter Notebook
Multi-agent LLM simulations testing algorithmic collusion and coordination breakdown in oligopoly markets.
Python replication of Calvano et al. (2020)
Q-learning oligopoly simulation (Calvano et al., 2020) — high-fidelity Python reproduction with ≥ 95 % accuracy
This repository features a precise used car valuation algorithm that sequentially calculates depreciation and appreciation based on age, mileage, owner history, collisions, and brand reliability. The project focuses on applying specific business logic rules, such as mileage limits and ownership impact, to determine a final vehicle value.
Replication of Calvano et al. (2020) 'Artificial Intelligence, Algorithmic Pricing, and Collusion' (AER)
A real-time pricing engine that transforms a bar menu into a simulated stock market.
A portfolio of quantitative finance models developed during the JPMorgan Chase Job Simulation, featuring continuous-time commodity forecasting, algorithmic storage contract pricing, and dynamic programming for FICO score quantization.
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