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Amazon Nova Forge 多轮强化学习自定义奖励函数指南
原标题：Custom reward functions for multi-turn reinforcement learning with Amazon Nova Forge
AI 摘要
AWS 机器学习博客介绍了 Amazon Nova Forge 的多轮强化学习自定义奖励函数设计。文章强调奖励函数决定模型学习行为，并展示了通过 BYOO 在自有环境运行奖励逻辑，以及使用 GRPO 优化累计奖励。还讨论了奖励评估流程、代码安全执行和常见陷阱，并提供了相关基础设施和示例代码。
以上摘要由 AI 生成，可能存在误差。事实请以原文为准。
正文节选
Custom reward functions for multi-turn reinforcement learning with Amazon Nova Forge In multi-turn reinforcement learning (RL), your custom reward function decides what the model actually learns. A subtly wrong reward can quietly teach the wrong thing while every training curve looks healthy. Designing a reward that holds up over multi-turn, agentic tasks is one of the hardest parts of customizing Amazon Nova models. For multi-turn training, Amazon Nova Forge runs your reward logic in your own e
发布时间：2026-08-15 00:02
抓取时间：2026-08-15 00:42
来源机构：AWS