Inverse RL Helps Align AI by Imitating Humans

Name: Inverse RL Helps Align AI by Imitating Humans
Uploaded: 2026-10-23T07:09:10.226143+00:00
Duration: 1464 s
Description: PARED recovers an explicit reward signal from expert demonstrations by constraining reward inference to a small set of features. This allows AI models to be aligned by using this recovered reward for real-time selection during inference or for training the model on-policy, moving beyond simple supervised fine-tuning.

PARED recovers an explicit reward signal from expert demonstrations by constraining reward inference to a small set of features. This allows AI models to be aligned by using this recovered reward for real-time selection during inference or for training the model on-policy, moving beyond simple supervised fine-tuning.

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