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Self-Distilled Agentic Reinforcement Learning

Hugging Face Daily Papers · 2026-05-14 Cached

SDAR enhances multi-turn agent training by integrating self-distillation with a sigmoid gate to selectively strengthen positive token-level guidance while mitigating negative teacher rejections, achieving significant improvements over GRPO across multiple benchmarks.

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