Research map / Multi-agent systems and games / Human-AI and goal-conditioned
Multiple Futures Prediction
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use MFP-4 instead of CS-LSTM(M) | NGSIM trajectory prediction · NGSIM, 1 sec | NLL (nats): 0.73±0.01 -> -0.65±0.01 | Helped |
| Use MFP-4 instead of CS-LSTM(M) | NGSIM trajectory prediction · NGSIM, 4 sec | NLL (nats): 3.77±0.01 -> 3.06±0.00 | Helped |
| Use MFP-4 instead of CS-LSTM | NGSIM trajectory prediction · NGSIM, 5 sec | RMSE (m): 4.37 -> 3.78±0.01 | Helped |
| Use MFP3 (ver. 1.1) instead of LSTM ED+map | Argoverse motion forecasting · Argoverse validation, K=6 | minADE (meters): 2.25 -> 1.399 | Helped |
| Use MFP3 (ver. 1.1) rather than version 1.0 | MFP3 · Argoverse validation, K=6 | minADE (meters): 1.411 -> 1.399 | Helped |
| Add interactive rollouts and dynamic encoding (ablation) | MFP · NGSIM test | RMSE | Helped |
| Add interactive rollouts (ablation) | MFP without interactive rollouts · NGSIM test | RMSE | Helped |
| Add dynamic encoding (ablation) | MFP without dynamic encoding · NGSIM test | RMSE | Helped |
Closest papers by meaning
- Scene Transformer: A unified architecture for predicting future trajectories of multiple agents (ICLR 2022 · similarity 0.91)
- Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction (ICLR 2022 · similarity 0.91)
- DESIRE: Distant Future Prediction in Dynamic Scenes With Interacting Agents (CVPR 2017 · similarity 0.90)
- DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States (NeurIPS 2024 · similarity 0.87)
- SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction (ICLR 2025 · similarity 0.87)
- PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning (ICML 2025 · similarity 0.87)
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