DriveAnchor: Progressive Anchor-based Flow Learning for Autonomous Driving Planning

arXiv:2606.00519 · cs.RO · Submitted 2026-05-30 · Read on arXiv

cs.RO

Submitted: 2026-05-30

Updated: 2026-09-26

Terminology

• Flow Matching — 15× in this paper · explained in 8 episodes
• Fine-Tuning — 14× in this paper · explained in 5 episodes
• Transformer — 12× in this paper · explained in 2 episodes
• Energy Field — 10× in this paper
• In International Conference on Learning Representations — 9× in this paper
• Diffusion Model — 6× in this paper · explained in 8 episodes
• Diffusion Models — 6× in this paper · explained in 6 episodes
• Reinforcement Learning — 6× in this paper · explained in 4 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Accuracy — 5× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 5× in this paper
• Generative Model — 4× in this paper · explained in 2 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• CVF International Conference on Computer Vision — 3× in this paper
• Conference on Robot Learning — 3× in this paper
• Generative Models — 3× in this paper · explained in 2 episodes
• Grounding — 3× in this paper · explained in 3 episodes
• Mode Collapse — 3× in this paper · explained in 2 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Flow Matching Model — 2× in this paper · explained in 2 episodes
• Generative Modeling — 2× in this paper · explained in 3 episodes
• International Conference on Machine Learning — 2× in this paper
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• GRPO — 1× in this paper · explained in 6 episodes
• International Conference on Robotics and Automation — 1× in this paper
• Normalizing Flow — 1× in this paper · explained in 3 episodes
• Normalizing Flows — 1× in this paper · explained in 4 episodes
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes
• Regret — 1× in this paper · explained in 3 episodes
• Reward Function — 1× in this paper · explained in 2 episodes

Sources

• DanceGRPO: Unleashing GRPO on Visual Generation
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• Evolution Strategies as a Scalable Alternative to Reinforcement Learning

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