Apple researchers propose Ctrl-R framework for learning structured reasoning patterns via RL.

Ctrl-R uses structured reasoning to systematically discover and reinforce diverse reasoning behaviors through targeted exploration of specific patterns during reinforcement learning, addressing sparse complex reasoning in unconstrained sampling.