AI RESEARCH
Recent Advances in Multi-Agent Human Trajectory Prediction: A Comprehensive Review
arXiv CS.LG
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ArXi:2506.14831v3 Announce Type: replace-cross With the emergence of powerful data-driven methods in human trajectory prediction (HTP), gaining a finer understanding of multi-agent interactions lies within hand's reach, with important implications in areas such as social robot navigation, autonomous driving, and crowd modeling. This survey reviews some of the most recent advancements in deep learning-based multi-agent trajectory prediction, focusing on studies published between 2020 and 2025.