grpo-rl-training

使用TRL实现GRPO策略优化的实战级训练与调参指南。

提供用 TRL 做 GRPO/RL 微调的实战级方案，包含 reward 设计、训练流水线和调参技巧，适合想用强化学习提升模型推理或完成特定任务的团队。需要把语言模型用自定义奖励做专业化训练时用，强调可复现、可生产化的训练流程和实战经验。

# GRPO/RL Training with TRL

Expert-level guidance for implementing Group Relative Policy Optimization (GRPO) using the Transformer Reinforcement Learning (TRL) library. This skill provides battle-tested patterns, critical insights, and production-ready workflows for fine-tuning language models with custom reward functions.

## When to Use This Skill

Use GRPO training when you need to:
- **Enforce specific output formats** (e.g., XML tags, JSON, structured reasoning)
- **Teach verifiable tasks** with objective correctness metrics (math, coding, fact-checking)
- **Improve reasoning capabilities** by rewarding chain-of-thought patterns
- **Align models to domain-specific behaviors** without l