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September 19, 2025Advanced Intelligent SystemsOpen Access

Learning Optimal Crowd Evacuation from Scratch Through Self‐Play

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This study develops a method that improves crowd evacuation rates using reinforcement learning, suggesting better strategies for safety.

Agents learn optimal crowd behavior autonomously, enhancing evacuation strategies based on pressure awareness.
The method demonstrated improved evacuation rates and lower fatalities compared to traditional models, indicating its effectiveness.
Using multiagent reinforcement learning, agents adopt interpretable strategies like queuing and zipper merging for efficient evacuation.
Potential applications of this work could lead to better safety guidelines for mass evacuations in various environments.

Nasiri et al. (2025) studied this question.

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September 19, 2025Advanced Intelligent SystemsOpen Access

View Full Paper

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Authors

This study develops a method that improves crowd evacuation rates using reinforcement learning, suggesting better strategies for safety.

Agents learn optimal crowd behavior autonomously, enhancing evacuation strategies based on pressure awareness.
The method demonstrated improved evacuation rates and lower fatalities compared to traditional models, indicating its effectiveness.
Using multiagent reinforcement learning, agents adopt interpretable strategies like queuing and zipper merging for efficient evacuation.
Potential applications of this work could lead to better safety guidelines for mass evacuations in various environments.

Nasiri et al. (2025) studied this question.

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