Custom reward functions for multi-turn reinforcement learning with Amazon Nova Forge
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In multi-turn reinforcement learning, your custom reward function decides what the model actually learns. This post shows how to design a composite multi-turn reward for Amazon Nova Forge, execute model-generated code safely inside it, and instrument each component to catch the pitfalls that quietly collapse a reward.
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 environment through its Bring Your Own Orchestration (BYOO) capability. You can…
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