Multi-Turn Reinforcement Learning on Amazon SageMaker AI: A hands-on guide
TL;DR
Multi-Turn Reinforcement Learning (MTRL) on Amazon SageMaker AI trains models on the outcome of a whole multi-step task rather than labeled steps. This hands-on guide walks the full pipeline using Wordle: deploying the agent and reward on Amazon Bedrock AgentCore, preparing the dataset, training, and evaluating at serving settings.
Nauti's Take
For small teams, the Wordle workflow is a useful test case before applying MTRL to their own agent tasks. The first checks should be whether success and failure can be measured with a reliable end-to-end reward, and whether the combined cost of training, AgentCore execution, and evaluation matches the expected benefit.
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