← Back to papers

2025 ICML ICML 2025

The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret

Authors

Lukas Fluri , Leon Lang , Alessandro Abate , Patrick Forré , David Krueger , Joar Max Viktor Skalse

Related papers

Scaling Sparse Feature Circuits For Studying In-Context Learning 2025

Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems 2025

SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics 2025

Batch List-Decodable Linear Regression via Higher Moments 2025

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models 2025