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Guide connects RL with LLM training methods
Published on August 24, 2026, the guide covers reinforcement learning fundamentals and formulations used in training language models.
Published on August 24, 2026, the guide covers reinforcement learning (RL) fundamentals, policy gradients, and REINFORCE. It also relates core RL concepts to methods and configurations used in language model training.
Topics include token-level MDPs, completion-level bandits, and outcome rewards versus process rewards. To consult and verify the material, read the original guide and check its definitions and formulations there; the available summary does not detail experimental results.
Original source: Um guia de reinforcement learning para LLMs