AINeutralarXiv – CS AI · 7h ago6/10
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HERO: Hindsight-Enhanced Reflection from Environment Observations for Agentic Self-Distillation
Researchers introduce HERO, a self-distillation framework for reinforcement learning agents that uses environment observations as feedback to improve multi-turn decision-making. The method addresses credit assignment problems in sequential tasks by converting observations into actionable diagnoses, outperforming existing approaches on benchmark tasks with limited training data.