Meta's RSD Lets AI Agents Self-Evolve from Past Trajectories

A new Meta paper proposes Retrospective Self-Distillation (RSD), enabling AI agents to learn and self-evolve from their own past task trajectories without ground-truth labels or reward signals.

2026-10-23 ~ 2026-10-23 · 2 related posts

• Meta's RSD paper: agents self-improve from unlabeled runs, lifting Qwen3-14B success from 12.9% to 20.6% — rohanpaul_ai · 2026-10-23
• arXiv: Self-Evolving Agents through Privileged Retrospective Distillation (Meta AI) — rohanpaul_ai · 2026-10-23