Research map / Probabilistic and scientific modeling / Dynamical systems
Causal Navigation by Continuous-time Neural Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use NCP (liquid time-constant, causal CT) instead of LSTM | drone policy · Static target, clear | closed-loop success rate: 24% -> 48% | Helped |
| use NCP instead of ODE-RNN (generic neural ODE) | drone policy · Chasing, clear | closed-loop success rate: 52% -> 78% | Helped |
| use NCP instead of LSTM | drone policy · Heavy rain static target | closed-loop success rate: 4% -> 60% | Helped |
| use NCP instead of CT-GRU | drone policy · Hiking, clear | closed-loop success rate: 0% -> 30% | Helped |
| add recurrent memory instead of single-frame CNN | drone policy · Static target occlusion | closed-loop success rate: 4% -> 32% | Helped |
| NCP vs LSTM under fog in chasing | drone policy · Chasing, fog | closed-loop success rate: 62% -> 52% | Hurt |
| NCP vs CT-GRU in light rain static target | drone policy · Static target, light rain | closed-loop success rate: 60% -> 52% | Hurt |
Closest papers by meaning
- Reasoning in Visual Navigation of End-to-end Trained Agents: A Dynamical Systems Approach (CVPR 2025 · similarity 0.86)
- Vision-and-Language Navigation via Causal Learning (CVPR 2024 · similarity 0.86)
- Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations (CVPR 2025 · similarity 0.86)
- Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control (NeurIPS 2024 · similarity 0.85)
- Causal Imitation for Markov Decision Processes: a Partial Identification Approach (NeurIPS 2024 · similarity 0.85)
- Seeing through Uncertainty: Robust Task-Oriented Optimization in Visual Navigation (NeurIPS 2025 · similarity 0.85)
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