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parameter noise

techniqueactiveparameter-noise-2af53ef3·1 events·first seen May 20, 2026

Aliases: parameter noise

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gradient noise scale Parameter-Efficient Fine-Tuning Parameter Golf hyperparameter transfer Uncertainty Calibration Standard Parameterization (SP)Maximal Update Parameterization (μP)attention entropy dynamics randomization model calibration malicious fine-tuning behavioral fine-tuning

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4Openai Blog·May 20, 2026·source ↗

Better Exploration with Parameter Noise in Reinforcement Learning

OpenAI researchers found that adding adaptive noise to the parameters of reinforcement learning algorithms frequently improves performance across tasks. The technique is described as simple to implement and rarely harmful, making it broadly applicable. This work contributes to exploration strategies in RL, a longstanding challenge in the field.

AI Safety Research Reinforcement Learning OpenAI parameter noise