Publicaciones en colaboración con investigadores/as de Universidad Carlos III de Madrid (8)

2017

  1. Emergent behaviors and scalability for multi-agent reinforcement learning-based pedestrian models

    Simulation Modelling Practice and Theory, Vol. 74, pp. 117-133

  2. Modeling, evaluation, and scale on artificial pedestrians: A literature review

    ACM Computing Surveys, Vol. 50, Núm. 5

2015

  1. 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

  1. MARL-Ped: A multi-agent reinforcement learning based framework to simulate pedestrian groups

    Simulation Modelling Practice and Theory, Vol. 47, pp. 259-275

  2. Strategies for simulating pedestrian navigation with multiple reinforcement learning agents

    Autonomous Agents and Multi-Agent Systems, Vol. 29, Núm. 1, pp. 98-130

2012

  1. 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)

  2. 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

  1. A reinforcement learning approach for multiagent navigation

    ICAART 2010 - 2nd International Conference on Agents and Artificial Intelligence, Proceedings