Amazon Web Services
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2nd July 2026
Best practices for multi-turn reinforcement learning in Amazon SageMaker AI | Amazon Web Services
Training a multi-turn agent in Amazon SageMaker AI to resolve support tickets or moderate content means handling a sequence of dependent steps, not a single response. These agents read instructions, make tool calls, read the results, decide the next action, and recover from a mistake before committing to an answer. That flexibility is also what makes agentic reinforcement learning (RL) challenging. More ways to act mean more ways to satisfy the reward without doing the task, and the environment...