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Oct, 2022
多智能体系统局部行为预测及其在森林火灾模型中的应用
Forecasting local behavior of multi-agent system and its application to forest fire model
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Beomseok Kang, Minah Lee, Harshit Kumar, Saibal Mukhopadhyay
TL;DR
本文研究了一种CNN-LSTM模型，用于预测大型多智能体系统中特定智能体的状态，模型采用CNN编码器，LSTM模块和MLP解码器来预测智能体的未来状态，实验结果显示该模型具有更高的AUC并且计算效率更高。
Abstract
In this paper, we study a
cnn-lstm model
to forecast the state of a specific agent in a large
multi-agent system
. The proposed model consists of a CNN encoder to represent the system into a low-dimensional vector
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