Custom reward functions for multi-turn reinforcement learning with Amazon Nova Forge
Reward engineering for multi-turn RL: AWS shows how to instrument composite rewards without collapsing model learning.
Why it matters
Practitioners fine-tuning Nova Forge with reinforcement learning need production-grade reward function design to avoid silent failures. This is a tactical engineering guide for practitioners building agentic systems.
The key facts
10 to knowAmazon Nova Forge: multi-turn RL support
Custom composite reward functions
Safe code execution inside reward functions
Instrumentation/monitoring of reward components
Multi-turn agent training pitfalls
Amazon Nova Forge as the subject model
Multi-turn reinforcement learning training methodology
Composite reward function design pattern
Instrumentation and failure mode detection in reward design
Published by AWS ML blog (vendor documentation)
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: 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…