# Custom Reward Functions for Multi-turn Reinforcement Learning with Amazon Nova Forge

> **Platform:** [SPIDITS AI](https://spidits.com/) — Real-Time AI News & Market Intelligence  
> **Published:** 2026-08-14T16:02:10.000Z  
> **Category:** PRODUCT_LAUNCH  
> **Impact Score:** 140/100  
> **Primary Source:** [AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/custom-reward-functions-for-multi-turn-reinforcement-learning-with-amazon-nova-forge)  
> **Canonical Citation:** [https://spidits.com/timeline/custom-reward-functions-for-multi-turn-reinforcement-learning-with-amazon](https://spidits.com/timeline/custom-reward-functions-for-multi-turn-reinforcement-learning-with-amazon)

## Executive Summary
In multi-turn reinforcement learning, your custom reward function decides what the model actually learns.

## Why It Matters (Strategic Analysis)
The design of the reward function has a direct impact on what the model learns, and a subtly wrong reward can lead to incorrect learning. The ability to customize the reward function is significant because it allows users to optimize cumulative reward across the whole trajectory of multi-turn tasks.

## Referenced Coverage & Sources
- **[AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/custom-reward-functions-for-multi-turn-reinforcement-learning-with-amazon-nova-forge)**: Custom reward functions for multi-turn reinforcement learning with Amazon Nova Forge — _In multi-turn reinforcement learning, your custom reward function decides what the model actually learns. This post shows how to design a composite..._

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*Synthesized by SPIDITS AI Market Intelligence Desk. Track live AI news, model releases, and funding: [https://spidits.com](https://spidits.com)*