GRPO: `rollout_func` In Config Causes `TypeError: AxolotlGRPOConfig.__init__() Got An Unexpected Keyword Argument 'rollout_func'`

Jul 1, 2025explore what grpo is, how it works, the essential components needed for its implementation, and when it is most appropriate to use. Instead of evaluating one rollout per input, grpo generates multiple completions (responses) from the current policy for each prompt. Aug 21, 2025what is grpo?

Group relative policy optimization (grpo) is an improvement over proximal policy optimization (ppo), specifically designed to make reinforcement learning for large. At it’s core, grpo is a reinforcement learning (rl) algorithm that is aimed at improving the model’s reasoning ability. We revisit group relative policy optimization (grpo) in both on-policy and off-policy optimization regimes.

Group relative policy optimization (grpo), a deepseek reinforcement learning method, is ideal when deep domain ex-pertise, precise style and tone control, specific output formatting, or debiasing are. To understand how grpo works, it can be broken down into four main steps: Reinforcement learning for large language models has hit a critical evolution point with group relative policy optimization (grpo).

This breakthrough approach tackles the fundamental inefficiencies that. Jan 31, 2025grpo (group relative policy optimization) is a method used in reinforcement learning (rl) to help a model learn better by comparing different actions and making small, controlled.