SGLang-veRL-Server

📢 SGLang-veRL Server: From Engine to Server — Towards a More Flexible RLHF Rollout Interface

In this post, I introduce the design and motivation behind the server-based rollout engine in the veRL framework. Traditional RLHF pipelines often assume tight coupling between training process and offline engine, which makes real-world interaction difficult. This post walks through how we use server-based rollout engine in RLHF training process, enabling more flexible and scalable reinforcement learning workflows.

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