Update README.md

README.md

@@ -14,7 +14,7 @@ pipeline_tag: other
 
 FlowR2A is a generative multimodal driving planner that learns the **reward-conditioned action distribution** p(a|r) with **flow matching**. Instead of treating simulation-based rewards as *discriminative targets* (as in scoring-based planners), FlowR2A reframes them as *generative conditions*, unifying the dense supervision of scoring-based methods with the dynamic proposal generation of anchor-based methods in a single model. This forces the planner to internalize how an action relates to its outcomes in safety, progress, comfort, and rule compliance.
 
-- 📄 **Paper:** FlowR2A: Learning Reward-to-Action Distribution for Multimodal Driving Planning
+- 📄 **Paper:** https://arxiv.org/abs/2606.24231
 - 🌐 **Project page:** https://lixirui142.github.io/flowr2a-project-page/
 - 💻 **Code:** https://github.com/lixirui142/FlowR2A