← Friday, October 9, 2026AgentsPaper
Self-Retrospection Distillation turns agent hindsight into foresight training targets
SRD distills lessons from completed trajectories into pre-interaction predictions, without requiring foresight generation at inference; across 10 tool-integrated and long-horizon tasks it reports gains of up to 24.2 percentage points. It offers a training signal when outcome rewards alone provide little contrast between rollouts.
- What
- - Self-Retrospection Distillation (SRD) uses post-hoc experience to train foresight predictions from the agent's pre-interaction view.
- Method
- - SRD distills useful knowledge and pitfalls from completed trajectories into trajectory-blind foresight targets that need not be generated at inference.
- Why it matters
- - The method can provide learning signal when rollout rewards are uniform; across 10 tasks, the paper reports gains of up to 24.2 percentage points.
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