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reinforcement learning with verifiable rewards

noun

also RLVR or reinforcement learning from verifiable rewards

Definition of reinforcement learning with verifiable rewards

  1. : a post-training method in which a model learns through reinforcement learning from rewards produced by an automatic checker, such as a correct final answer, passing unit tests, or satisfying a formal constraint

    • The lab used reinforcement learning with verifiable rewards because every generated program could be scored by running its test suite.
    • RLVR works naturally for mathematics and code, but it is harder to apply when quality depends on taste or an ambiguous human judgment.
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Origin & history

first known use2024

The 2024 Tulu 3 report introduced Reinforcement Learning with Verifiable Rewards, abbreviated RLVR, as a named post-training method. The term spread rapidly after reasoning-model work showed that automatically checked outcomes in mathematics, coding, and other rule-governed tasks could provide scalable reward signals.

Editorial references

Sources & further reading

3 sources
  1. Tulu 3: Pushing Frontiers in Open Language Model Post-Training Research Paper · arXiv · 2024-11-22
  2. Checking the Checkers: A Synthesis of Verifier Noise and Robustness in RLVR Research Survey · arXiv · 2026-10-14
  3. Two Clocks: Why Larger Rollout Batches Learn Slower but Fail on Schedule in Reinforcement Learning with Verifiable Rewards Research Paper · arXiv · 2026-10-14

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Cite this entry

"Reinforcement learning with verifiable rewards." AI Dictionary, Dadgogo, https://dadgogo.com/dictionary/reinforcement-learning-with-verifiable-rewards/. Accessed 15 Oct. 2026.

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