Learning to Explain While Planning: Rule-Aligned Diffusion Planning for Autonomous Driving
cs.LG
Submitted: 2026-09-30
Updated: 2026-10-01
Sources
- NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles
- Training Data Attribution for Diffusion Models
- Towards learning-based planning:The nuPlan benchmark for real-world autonomous driving
- Explaining generative diffusion models via visual analysis for interpretable decision-making process
- Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
- Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following
- Diffusion-Based Planning for Autonomous Driving with Flexible Guidance
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