Yuxuan Zhu

Non-vacuous Generalization Bounds for Reinforcement Learning with Verifiable Rewards

Yuxuan Zhu, Rohan Alur, Daniel Kang

While reinforcement learning with verifiable rewards (RLVR) is widely used to improve the reasoning capabilities of large language models (LLMs), the generalizability of the resulting models remains poorly understood. In this work, we establish the first non-vacuous generalizatio…Read more