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A framework for training multi-step agents with reinforcement learning from task outcomes.

Potential use: Agent engineers with repeatable tasks, measurable rewards, and the compute to run controlled training experiments.

Limitations: Training on confidential trajectories or deploying tuned agents without held-out evaluation and safety review.

Source facts only. Not tested or recommended by Agent Blocks.

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