Efficient Long-Horizon Learning for Learned Optimization

Name: Efficient Long-Horizon Learning for Learned Optimization
Uploaded: 2026-10-17T20:24:45.222170+00:00
Duration: 294 s
Description: The Efficient Long-Horizon Learning (ELO) algorithm is a novel meta-training method designed for learned optimization. It combines a failure-aware resume buffer to handle difficult learning regions and decoupled progressive expert guidance to ensure stable, efficient long-horizon learning. ELO significantly improves the performance and generalization of learned optimizers across various tasks.

The Efficient Long-Horizon Learning (ELO) algorithm is a novel meta-training method designed for learned optimization. It combines a failure-aware resume buffer to handle difficult learning regions and decoupled progressive expert guidance to ensure stable, efficient long-horizon learning. ELO significantly improves the performance and generalization of learned optimizers across various tasks.

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