Agentic reinforcement learning empowers next-generation chemical language models for molecular design and synthesis. - Hao Li 073; He Cao; Shenyao Peng; Zijing Liu; Bin Feng 001; Yu Wang 027; Zhiyuan Yan 002; Yonghong Tian 001; Yu Li 003; Li Yuan 007 (CoRR, 2026)