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Title:
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From one to many: Simulating groups of agents with reinforcement learning controllers
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Author:
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Casadiego, Luiselena; Pelechano Gómez, Núria
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Other authors:
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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 |
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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. |
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Abstract:
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Peer Reviewed |
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Subject(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 |
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Rights:
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Document type:
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Article - Submitted version
Conference Object |
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