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News/VIMPO: Value-Implicit Policy Optimization for LLMs
arxiv
PublishedJune 19, 2026 at 4:00 AM
▲bullish

VIMPO: Value-Implicit Policy Optimization for LLMs

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2606.20008v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards has become a central tool for improving the reasoning ability of large language models, but current methods face a trade-off between simplicity and credit assignment. Group-relative methods such as GRPO av

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Discussion
Mentioned models
03
  • 01
    VIMPO
  • 02
    GRPO
  • 03
    PPO
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#reinforcement-learning#language-models#optimization#research

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Mentioned models
03
  • 01
    VIMPO
  • 02
    GRPO
  • 03
    PPO
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#reinforcement-learning#language-models#optimization#research

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arxivVeriEvolve: Evaluator-First Evolution for Tool-Using Agents1darxivTNODEV: Toolbox for Neural ODE Verification1darxivLearning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding1darxivOn the Expressive Power and Limitations of Multi-Layer SSMs1d
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