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We compare different post-training paradigms on the nuPlan dataset, evaluating on both open-loop and closed-loop metrics across common and rare driving scenarios.
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> **Metric notes:**
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> **Early stage**. Stable ckpts and corresponding results coming soon.
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> - **Open-loop PDMS** is aligned with [NAVSIM v1.1](https://github.com/autonomousvision/navsim) PDM Score. *Common* denotes the standard `navtest` split; *Rare* denotes the `navtest_failures` subset — failure-prone rare-case scenarios extracted from `navtest`.
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> - **Closed-loop Success Rate** is defined as the fraction of simulated driving episodes completed without collision or off-road failure.
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> - **Closed-loop PDMS*** is the PDM Score obtained via **SimEngine closed-loop testing**, where the planner interacts with reactive agents in simulation under real-time rendering.
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- [x] Rare case extraction and fine-tuning pipeline
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- [x] Comprehensive documentation and usage guides
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- [x] Hugging Face / ModelScope dataset
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- [ ] Open-source release (code, data, pre-trained models)
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- [x] Open-source release (code, data, early pre-trained models)
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- [ ] arXiv preprint
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- [ ] Behavior World Model integration
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- [ ] Stable pre-trained models
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## Getting Started

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