Best practices for multi-turn reinforcement learning in Amazon SageMaker AI
TL;DR
In this post, we share best practices for reliable multi-turn RL training. We cover how to build a training environment you can trust, set up an external evaluation, design a reward aligned with the end task, manage what changes once the agent runs for multiple turns, and monitor the metrics that tell you when to iterate.
Nauti's Take
Coming soon — Nauti's Take is being prepared.