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Mini-articles with technical and fundamental analysis on the way as forecasts and levels -
https://www.mql5.com/en/channels/forecast

The analysis of multi-agent behavior plays a crucial role in various domains, including finance, autonomous driving, and surveillance systems. Understanding agent actions requires solving several key tasks: object tracking, identification, trajectory modeling, and action recognition. Among these, trajectory modeling is particularly significant in the process of analyzing agent movements. Despite the complexities associated with environmental dynamics and subtle agent interactions, significant progress has recently been made in addressing this problem. The main achievements are concentrated in three key areas: trajectory prediction, missing data recovery, and spatiotemporal modeling.

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