Deep Q-learning market makers in a multi-agent simulated stock market. - Oscar Fernández Vicente; Fernando Fernández Rebollo; Francisco Javier García-Polo (ICAIF, 2021)

Reinforcement Learning in System Identification. - Jose Antonio Martin H.; Oscar Fernández Vicente; Sergio Pérez 002; Anas Belfadil; Cristina Ibáñez-Llano; Freddy Jose Perozo Rondon; Jose Javier Valle; Javier Arechalde Pelaz (CoRR, 2022)

Automated market maker inventory management with deep reinforcement learning. - Oscar Fernández Vicente; Fernando Fernández 001; Javier García 001 (Appl. Intell., 2023)

Market Making Strategies with Reinforcement Learning. - Oscar Fernández Vicente (CoRR, 2025)

Policy weighting via discounted Thomson sampling for non-stationary market-making. - Oscar Fernández Vicente; Javier García 001; Fernando Fernández 001 (Artif. Intell. Rev., 2025)

Optimizing market-making strategies: A multi-objective reinforcement learning approach with pareto fronts. - Oscar Fernández Vicente; Javier García 001; Fernando Fernández 001 (Expert Syst. Appl., 2026)