Definition. Reinforcement learning with verifiable rewards [lambert2024tulu3, Section 6, equations (7)--(8), and the paragraph following equation (8)] [ftip-0044]
Definition. Reinforcement learning with verifiable rewards [lambert2024tulu3, Section 6, equations (7)--(8), and the paragraph following equation (8)] [ftip-0044]
Reinforcement learning with verifiable rewards is a post-training method that samples responses from a language-model policy, computes rewards with a deterministic check of the response, and applies a reinforcement-learning update to increase expected checked reward, optionally with regularization to a reference policy.
In the cited construction, a correct response receives reward \(\alpha \) and an incorrect response receives \(0\). Equation (8) gives this two-valued form, and the paragraph immediately after it sets \(\alpha =10\). The checked predicate, reward scale, prompt law, rollout procedure, and policy optimizer remain separate parts of the method.