RL for Reasoning by Adaptively Revealing Rationales
Researchers introduce AdaBack, a new reinforcement learning algorithm that uses partial supervision to help AI models learn complex reasoning tasks. The method dynamically adjusts the amount of guidance provided to each training sample, enabling models to solve mathematical reasoning problems that traditional supervised learning and reinforcement learning methods cannot handle.