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ReflectDrive-2: Reinforcement-Learning-Aligned Self-Editing for Discrete Diffusion Driving

ReflectDrive-2 is a discrete diffusion planner that uses reinforcement learning to train self-editing trajectory tokens, boosting NAVSIM PDMS to 91.0 with 31.8 ms latency.

Huimin Wang, Yue Wang, Bihao Cui, Pengxiang Li and 6 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 8 on Hugging Face

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 2/5