ai-research

Verl Rl 학습

원문: verl-rl-training

Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL algorithms for LLM post-training at scale with flexible infrastructure backends.

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verl: Volcano Engine Reinforcement Learning for LLMs verl is a flexible, efficient, and production ready RL training library for large language models from ByteDance's Seed team. It implements the HybridFlow framework (EuroSys 2025) and powers models like Doubao 1.5 pro achieving O1 level performance on math benchmarks. When to Use verl Choose verl when you need: Production ready RL training at scale (tested up to 671B parameters) Flexibility to swap backends (FSDP ↔ Megatron LM ↔ vLLM ↔ SGLang) Support for multiple RL algorithms (PPO, GRPO, RLOO, REINFORCE++, DAPO) Multi turn rollout with tool calling for agentic workflows Vision language model RL training Consider alternatives when: You ne…

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