FRANCISCO
MARTINEZ GIL
TITULAR DE UNIVERSIDAD
MIGUEL
LOZANO IBAÑEZ
PROF. PERMANENTE LABORAL PPL
Publicaciones en las que colabora con MIGUEL LOZANO IBAÑEZ (12)
2021
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Clinically-Driven Virtual Patient Cohorts Generation: An Application to Aorta
Frontiers in Physiology, Vol. 12
2020
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Using inverse reinforcement learning with real trajectories to get more trustworthy pedestrian simulations
Mathematics, Vol. 8, Núm. 9
2017
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Emergent behaviors and scalability for multi-agent reinforcement learning-based pedestrian models
Simulation Modelling Practice and Theory, Vol. 74, pp. 117-133
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Modeling, evaluation, and scale on artificial pedestrians: A literature review
ACM Computing Surveys, Vol. 50, Núm. 5
2016
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Phase space data-driven simulation of elastic materials
26th Spanish Computer Graphics Conference, CEIG 2016 - Co-located with Congreso Espanol de Informatica, CEDI 2016
2015
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Emergent collective behaviors in a multi-agent reinforcement learning pedestrian simulation: A case study
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2014
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MARL-Ped: A multi-agent reinforcement learning based framework to simulate pedestrian groups
Simulation Modelling Practice and Theory, Vol. 47, pp. 259-275
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Strategies for simulating pedestrian navigation with multiple reinforcement learning agents
Autonomous Agents and Multi-Agent Systems, Vol. 29, Núm. 1, pp. 98-130
2012
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Calibrating a motion model based on reinforcement learning for pedestrian simulation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Multi-agent reinforcement learning for simulating pedestrian navigation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2010
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A REINFORCEMENT LEARNING APPROACH FOR MULTIAGENT NAVIGATION
ICAART 2010: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1: ARTIFICIAL INTELLIGENCE
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A reinforcement learning approach for multiagent navigation
ICAART 2010 - 2nd International Conference on Agents and Artificial Intelligence, Proceedings