HDRLM3D: A Deep Reinforcement Learning-Based Model with Human-like Perceptron and Policy for Crowd Evacuation in 3D Environments

HDRLM3D: A Deep Reinforcement Learning-Based Model with Human-like Perceptron and Policy for Crowd Evacuation in 3D Environments

At present, a common drawback of crowd simulation models is that they are mainly simulated in (abstract) 2D environments, which limits the simulation of crowd behaviors observed in real 3D environments. Therefore, we propose a deep reinforcement learning-based model with human-like perceptron and po...

Full description

Bibliographic Details
Main Authors: Dong Zhang, Wenhang Li, Jianhua Gong, Lin Huang, Guoyong Zhang, Shen Shen, Jiantao Liu, Haonan Ma
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:ISPRS International Journal of Geo-Information
Subjects:
crowd simulation
agent-based model
deep reinforcement learning
perceptron
policy
Online Access:https://www.mdpi.com/2220-9964/11/4/255

Internet

https://www.mdpi.com/2220-9964/11/4/255

Similar Items