AWS ML BlogSaturday · August 15, 2026FREECustom reward functions for multi-turn reinforcement learning with Amazon Nova Forge
AWS published a blog post introducing custom reward functions for multi-turn reinforcement learning with Amazon Nova Forge. The post explains how developers can define their own reward functions to shape model behavior during training. This capability is designed for multi-turn scenarios, where agents interact over multiple steps. By customizing reward signals, developers can align model outputs more closely with specific task objectives. The blog includes technical details on implementing these functions, presumably within the Nova Forge environment. This feature is part of Amazon Nova Forge, a platform for building and training AI models. The announcement highlights AWS's ongoing investment in reinforcement learning tooling. Developers using Nova Forge can now tailor training to their unique use cases, potentially improving performance on complex tasks. The post does not specify release dates, pricing, or benchmark results, focusing instead on the feature's availability and usage.
Custom reward functions give developers finer control over multi-turn RL training, enabling task-specific optimization.