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The tutorial provides a concrete, reproducible starting point for the agentic post-training workflow — SFT from agent traces — before the more complex GRPO and environment RL stages that follow in the series.
Teams training LLM agents with RL-based methods should evaluate whether token-level optimization is the right granularity — StepPO's step-level MDP framing and credit assignment approach offers a concrete alternative designed for multi-turn tool-use and decision-making tasks.