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Chaorui Yao

2 accepted papers

2026

Group-Relative REINFORCE Is Secretly an Off-Policy Algorithm: Demystifying Some Myths About GRPO and Its Friends

ICLR 2026poster

Off-policy reinforcement learning (RL) for large language models (LLMs) is attracting growing interest, driven by practical constraints in real-world applications, the complexity of LLM-RL infrastructure, and the need for further innovations of RL methodologies. While classic REINFORCE and its moder…

Cited by 0SourceScholar
2021

An Efficient Alternating Direction Method for Graph Learning from Smooth Signals

ICASSP 2021accepted

We consider the problem of identifying the graph topology from a set of smooth graph signals. A well-known approach to this problem is minimizing the Dirichlet energy accompanied with some Frobenius norm regularization. Recent works have incorporated the logarithmic barrier on the node degrees to im…

Cited by 0SourceScholar