Agent's actions as a classification criteria for the state space in a learning from rewards system. - Francisco Martinez-Gil (J. Exp. Theor. Artif. Intell., 2008)

A Reinforcement Learning Approach for Multiagent Navigation. - Francisco Martinez-Gil; Fernando Barber; Miguel Lozano 001; Francisco Grimaldo 001; Fernando Fernández 001 (ICAART (1), 2010)

Multi-agent Reinforcement Learning for Simulating Pedestrian Navigation. - Francisco Martinez-Gil; Miguel Lozano 001; Fernando Fernández 001 (ALA, 2011)

Calibrating a Motion Model Based on Reinforcement Learning for Pedestrian Simulation. - Francisco Martinez-Gil; Miguel Lozano 001; Fernando Fernández 001 (MIG, 2012)

Emergent Collective Behaviors in a Multi-agent Reinforcement Learning Pedestrian Simulation: A Case Study. - Francisco Martinez-Gil; Miguel Lozano 001; Fernando Fernández 001 (MABS, 2014)

MARL-Ped: A multi-agent reinforcement learning based framework to simulate pedestrian groups. - Francisco Martinez-Gil; Miguel Lozano 001; Fernando Fernández 001 (Simul. Model. Pract. Theory, 2014)

Strategies for simulating pedestrian navigation with multiple reinforcement learning agents. - Francisco Martinez-Gil; Miguel Lozano 001; Fernando Fernández 001 (Auton. Agents Multi Agent Syst., 2015)

Phase Space Data-Driven Simulation of Elastic Materials. - Carlos Monteagudo; Miguel Lozano 001; Ignacio García-Fernández; Francisco Martinez-Gil (CEIG, 2016)

MARL-Ped+Hitmap: Towards Improving Agent-Based Simulations with Distributed Arrays. - Eduardo Rodriguez-Gutiez; Francisco Martinez-Gil; Juan Manuel Orduña; Arturo González-Escribano (ICA3PP Workshops, 2016)

Modeling, Evaluation, and Scale on Artificial Pedestrians: A Literature Review. - Francisco Martinez-Gil; Miguel Lozano 001; Ignacio García-Fernández; Fernando Fernández 001 (ACM Comput. Surv., 2017)

Emergent behaviors and scalability for multi-agent reinforcement learning-based pedestrian models. - Francisco Martinez-Gil; Miguel Lozano 001; Fernando Fernández 001 (Simul. Model. Pract. Theory, 2017)

Procedural Location of Roads Using Desire Paths. - Pablo Real; Francisco Martínez-Gil; Rafael J. Martínez-Durá; Ignacio García-Fernández (CEIG, 2019)

Where is the Nearest EV Charging Station? Evolutionary Optimization of the Gas/charging Stations Topology. - Enrique Mateos-Melero; Javier Moralejo-Piñas; Ángela Durán-Pinto; Francisco Martinez-Gil; María Soriano; Fernando Fernández 001 (AAMAS, 2025)

Multi-Agent Reinforcement Learning for creating intelligent agents in social networks-oriented role playing games. - Francisco Martinez-Gil; Eduard Gil-Magraner (Entertain. Comput., 2025)