How to train a model on multi-turn tasks with reinforcement learning on Amazon SageMaker AI
AIAWS shows how to use Multi-Turn Reinforcement Learning on Amazon SageMaker AI to train a model on episode-level outcomes, using Wordle as an example. The post covers deploying the agent to Amazon Bedrock AgentCore, preparing the dataset, running training, and evaluating at serving settings.
AIWhy it matters.
The post walks through deploying an agent, preparing a dataset, and training with an outcome-based reward, including the reward-design mistakes it hit along the way. It is useful for teams building multi-step agents.
Source details
AWS Machine Learning Blog · Daniel Quang · aws.amazon.comPublished · added here
Original title: Multi-Turn Reinforcement Learning on Amazon SageMaker AI: A hands-on guide