Jin: Language models map directly to reinforcement learning policies
Roger Jin · What is an RL environment? w/ Nous Research's Roger Jin · Apr 29, 2025 · at 4:03
This episode carries Roger Jin's own address, with nobody on the show putting questions to them. It still counts as said, and it is kept out of every score on their page.
Roger Jin of Nous Research explains how the formal framework of reinforcement learning maps onto natural language autoregressive generation.
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“So the states are, like, the text prefixes, so the initial states, like, the prompt the actions are the next tokens that means, like, a language model is, like, exactly what a policy is, right? A policy maps a state to a probability distribution of our next actions, a language model maps a text prefix to a probability distribution of our next tokens.”
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