Corpus ID: 220793224

Dynamic Relational Inference in Multi-Agent Trajectories

  title={Dynamic Relational Inference in Multi-Agent Trajectories},
  author={Ruichao Xiao and R. Yu},
  • Ruichao Xiao, R. Yu
  • Published 2020
  • Computer Science, Mathematics
  • ArXiv
  • Inferring interactions from multi-agent trajectories has broad applications in physics, vision and robotics. Neural relational inference (NRI) is a deep generative model that can reason about relations in complex dynamics without supervision. In this paper, we take a careful look at this approach for relational inference in multi-agent trajectories. First, we discover that NRI can be fundamentally limited without sufficient long-term observations. Its ability to accurately infer interactions… CONTINUE READING

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