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Mikolaj Sacha

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#artificial intelligence Preprint Sep 2026

Reinforcement Learning with Decomposed Subtasks

This work introduces Reinforcement Learning with Decomposed Subtasks (RLDS), whose core is Subtask-Decomposed Advantage Estimation (SDAE), a replacement for the scalar GRPO advantage that splits trajectory reward into per-subtask shares on a fixed taxonomy, computes a group-relative advantage per subtask, and distribut...

Mattie Terzolo, Mikolaj Sacha, Ayan Sinha et al. · 0 citations