Follow
Francisco Martinez Gil
Title
Cited by
Cited by
Year
Modeling, evaluation, and scale on artificial pedestrians: a literature review
F Martinez-Gil, M Lozano, I García-Fernández, F Fernández
ACM Computing Surveys (CSUR) 50 (5), 1-35, 2017
742017
MARL-Ped: A multi-agent reinforcement learning based framework to simulate pedestrian groups
F Martinez-Gil, M Lozano, F Fernández
Simulation Modelling Practice and Theory 47, 259-275, 2014
622014
Emergent behaviors and scalability for multi-agent reinforcement learning-based pedestrian models
F Martinez-Gil, M Lozano, F Fernández
Simulation Modelling Practice and Theory 74, 117-133, 2017
532017
Multi-agent reinforcement learning for simulating pedestrian navigation
F Martinez-Gil, M Lozano, F Fernández
Adaptive and Learning Agents: International Workshop, ALA 2011, Held at …, 2012
482012
Strategies for simulating pedestrian navigation with multiple reinforcement learning agents
F Martinez-Gil, M Lozano, F Fernández
Autonomous Agents and Multi-Agent Systems 29, 98-130, 2015
362015
Clinically-driven virtual patient cohorts generation: an application to aorta
P Romero, M Lozano, F Martínez-Gil, D Serra, R Sebastián, P Lamata, ...
Frontiers in Physiology 12, 713118, 2021
212021
Using inverse reinforcement learning with real trajectories to get more trustworthy pedestrian simulations
F Martinez-Gil, M Lozano, I García-Fernández, P Romero, D Serra, ...
Mathematics 8 (9), 1479, 2020
152020
Calibrating a motion model based on reinforcement learning for pedestrian simulation
F Martinez-Gil, M Lozano, F Fernández
Motion in Games: 5th International Conference, MIG 2012, Rennes, France …, 2012
132012
A Reinforcement Learning Approach for Multiagent Navigation.
F Martinez-Gil, F Barber, M Lozano, F Grimaldo, F Fernández
ICAART (1), 607-610, 2010
82010
Reconstruction of the aorta geometry using canal surfaces
P Romero, S Santos, R Sebastian, F Martinez-Gil, D Serra, P Calvillo, ...
International Conference on Computational and Mathematical Biomedical …, 2019
52019
Emergent collective behaviors in a multi-agent reinforcement learning pedestrian simulation: a case study
F Martinez-Gil, M Lozano, F Fernández
International Workshop on Multi-Agent Systems and Agent-Based Simulation …, 2014
42014
MARL-Ped+ Hitmap: Towards improving agent-based simulations with distributed arrays
E Rodriguez-Gutiez, F Martinez-Gil, JM Orduña, A Gonzalez-Escribano
Algorithms and Architectures for Parallel Processing: ICA3PP 2016 Collocated …, 2016
22016
Phase Space Data-Driven Simulation of Elastic Materials.
C Monteagudo, M Lozano, I García-Fernández, F Martinez-Gil
CEIG, 69-73, 2016
12016
Agent's actions as a classification criteria for the state space in a learning from rewards system
F Martinez-Gil
Journal of Experimental & Theoretical Artificial Intelligence 20 (4), 269-276, 2008
12008
Procedural Location of Roads Using Desire Paths.
P Real, F Martínez-Gil, RJ Martínez-Durá, I García-Fernández
CEIG, 19-24, 2019
2019
MARL-Ped+ Hitmap: Aumentando la productividad de simulaciones basadas en agentes con una herramienta de arrays distribuidos
E Rodríguez Gutiez, F Martinez Gil, JM Orduña Huertas, ...
Universidad de Salamanca, 2016
2016
Reinforcement learning in a Multi-agent Framework for Pedestrian Simulation
FA Martinez-Gil
Universitat de Valencia (Spain), 2014
2014
Emergent collective behaviors in a multi-agent reinforcement learning based pedestrian simulation
F Martinez-Gil, F Fernández, M Lozano
RLDM 2013, 38, 2013
2013
Modeling, Evaluation and Scale on artificial Pedestrians: A literature
F MARTINEZ-GIL, M LOZANO, I GARCÍA-FERNÁNDEZ, F FERNÁNDEZ
The system can't perform the operation now. Try again later.
Articles 1–19