Xi Cheng

Exploration via Activation-Space Steering for Reinforcement Learning with Verifiable Rewards

This work introduces Activation-Space Exploration (ASE), an online method for diversifying training rollouts that builds a structured bank of latent exploration vectors by clustering activation differences between correct and incorrect responses to the same problem.