SageMaker multi-turn reinforcement learning lifts Wordle solve rates
AWS has published an end-to-end SageMaker AI multi-turn reinforcement learning guide using a Wordle agent hosted on Bedrock AgentCore. The example trains GPT-OSS-20B from episode-level rewards, lifting held-out solve rates from 61 to 84 per cent at serving settings while documenting reward design, validation differences, token costs and deployment requirements.