Título:
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From one to many: Simulating groups of agents with reinforcement learning controllers
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Autor/a:
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Casadiego, Luiselena; Pelechano Gómez, Núria
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Otros autores:
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Universitat Politècnica de Catalunya. Departament de Ciències de la Computació; Universitat Politècnica de Catalunya. ViRVIG - Grup de Recerca en Visualització, Realitat Virtual i Interacció Gràfica |
Abstract:
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Simulation of crowd behavior has been approached through many different methodologies, but the problem of mimicking human decisions and reactions remains a challenge for all. We propose an alternative model for simulation of pedestrian movements using Reinforcement Learning. Taking the approach of microscopic models, we train an agent to move towards a goal while avoiding obstacles. Once one agent has learned, its knowledge is transferred to the rest of the members of the group by sharing the resulting Q-Table. This results in individual behavior leading to emergent group behavior. We present a framework with states, actions and reward functions general enough to easily adapt to different environment configurations. |
Abstract:
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Peer Reviewed |
Materia(s):
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-Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial -Crowds -- Computer simulation -Reinforcement learning -Crowd simulation -Multituds -- Simulació per ordinador -Aprenentatge per reforç |
Derechos:
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Tipo de documento:
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Artículo - Versión presentada Objeto de conferencia |
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