RL-Godot pedestrian simulation: curriculum-based reinforcement learning for pedestrian simulation

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Authors: Giuseppe Vizzari, Andrea Falbo, Ruben Tenderini, Daniela Briola
Cited by: 1

Abstract

The paper describes a research effort aimed at developing RL-Godot, a reinforcement learning (RL) based open source software system supporting the study of pedestrian dynamics. We first introduce the curriculum based RL approach to pedestrian simulation adopted for RL-Godot, then describe its system architecture and report a preliminary experimental application that evaluates the framework’s ability to qualitatively reproduce low-to-medium density pedestrian behaviors reported in the literature.

Fields of Study & Subjects

Evacuation and Crowd Dynamics Human Motion and Animation Structural Engineering and Vibration Analysis

Publication details

Journal / source
Acta Polytechnica CTU Proceedings
Publisher
Czech Technical University in Prague - Central Library
Volume
57
Pages
323–329
Publication date
16 June 2026
Language
EN