• Corpus ID: 229340538

A Graph Attention Based Approach for Trajectory Prediction in Multi-agent Sports Games

@article{Ding2020AGA,
  title={A Graph Attention Based Approach for Trajectory Prediction in Multi-agent Sports Games},
  author={Ding Ding and Huimin Huang},
  journal={ArXiv},
  year={2020},
  volume={abs/2012.10531}
}
This work investigates the problem of multi-agents trajectory prediction. Prior approaches lack of capability of capturing fine-grained dependencies among coordinated agents. In this paper, we propose a spatial-temporal trajectory prediction approach that is able to learn the strategy of a team with multiple coordinated agents. In particular, we use graph-based attention model to learn the dependency of the agents. In addition, instead of utilizing the recurrent networks (e.g., VRNN, LSTM), our… 
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