Cursor and UC Berkeley Use RL to Teach Models New Behaviors from Scratch
Cursor researchers, together with UC Berkeley, propose directed guidance to let RL teach models entirely new behaviors, and release an arXiv report on pitfalls of combining stable agentic RL with self-distillation.
2026-11-05 ~ 2026-11-07 · 2 related posts
- Cursor & UC Berkeley's Targeted Guidance teaches RL new behaviors without degrading baselines — burny_tech · 2026-11-05
- Cursor Team Releases Report on Stabilizing RL + Self-Distillation in Agentic Training — kvfrans · 2026-11-07