mlsanityData to 7 Oct 2026

Stochastic Prediction of Multi-Agent Interactions from Partial Observations

arXiv 1902.09641 ↗First posted 25 Feb 2019cs.LG cs.CV stat.MLcited by 26

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Abstract (arXiv)

We present a method that learns to integrate temporal information, from a learned dynamics model, with ambiguous visual information, from a learned vision model, in the context of interacting agents. Our method is based on a graph-structured variational recurrent neural network (Graph-VRNN), which is trained end-to-end to infer the current state of the (partially observed) world, as well as to forecast future states. We show that our method outperforms various baselines on two sports datasets, one based on real basketball trajectories, and one generated by a soccer game engine.

Key facts. Cited by 26 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Feb 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 7; 2022: 9; 2023: 5; 2024: 3; 2025: 1; 2026: 1.

26 papers.

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  1. 2021DenseTNT: End-to-end Trajectory Prediction from Dense Goal Setscited by 292
  2. 2022GraphCast: Learning skillful medium-range global weather forecastingcited by 261
  3. 2021Towards Causal Representation Learningcited by 207
  4. 2022ViP3D: End-to-end Visual Trajectory Prediction via 3D Agent Queriescited by 116
  5. 2021ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representationscited by 67
  6. 2021Spatio-Temporal Dynamic Inference Network for Group Activity Recognitioncited by 42
  7. 2022How many Observations are Enough? Knowledge Distillation for Trajectory Forecastingcited by 35
  8. 2021CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoningcited by 23
  9. 2023Neural Relational Inference with Fast Modular Meta-learningcited by 16
  10. 2025Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modelingcited by 15
  11. 2021Learning Temporal Dynamics from Cycles in Narrated Videocited by 13
  12. 2023Object-Centric Learning with Slot Mixture Modulecited by 11
14 more
  1. 2024TranSPORTmer: A Holistic Approach to Trajectory Understanding in Multi-Agent Sportscited by 11
  2. 2023Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observationscited by 9
  3. 2022Aware of the History: Trajectory Forecasting with the Local Behavior Datacited by 8
  4. 2024FootBots: A Transformer-based Architecture for Motion Prediction in Soccercited by 8
  5. 2021Agent-Centric Representations for Multi-Agent Reinforcement Learningcited by 6
  6. 2022Group Activity Recognition in Basketball Tracking Data -- Neural Embeddings in Team Sports (NETS)cited by 5
  7. 2022Representing Spatial Trajectories as Distributionscited by 5
  8. 2023Co-Learning Empirical Games and World Modelscited by 4
  9. 2022Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attentioncited by 3
  10. 2026Heteroscedastic Diffusion for Multi-Agent Trajectory Modelingcited by 3
  11. 2023About latent roles in forecasting players in team sportscited by 2
  12. 2024Trajectory Forecasting through Low-Rank Adaptation of Discrete Latent Codescited by 2
  13. 2022Modeling Human Behavior Part I -- Learning and Belief Approachescited by 1
  14. 2022Rethinking Trajectory Prediction via "Team Game"cited by 1