Random Policy Valuation is Enough for LLM Reasoning with Verifiable Rewards

Haoran He, Yuxiao Ye, Qingpeng Cai +4

RL with Verifiable Rewards (RLVR) has emerged as a promising paradigm for improving the reasoning abilities of large language models (LLMs). Current methods rely primarily on polic…