Active Inference · Paper · 2026

On-Policy Distillation as Active Inference in Finite Variational Models

Daniel Ari Friedman

Zenodo

Catalog Row171
Citation KeyFriedman2026PolicyDistillationAsActive171
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Overview

Extracted from the local paper documentation when available.

This paper formulates on-policy distillation as active inference in finite variational models, with exact claims only for declared objects and interpretive claims explicitly bounded outside them. In the construction, the intractable teacher policy plays the role of the generative model $p(o,s)$, the tractable student policy is the approximate posterior $q(s)$, and the per-token reverse-KL...

on-policy distillationactive inferenceself-distillationprivileged informationfree energy principlereverse KL divergencepymdpsophisticated inference

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts
  • This paper formulates on-policy distillation as active inference in finite variational models, with exact claims only for declared objects and interpretive claims explicitly bounded outside them.
  • In the construction, the intractable teacher policy plays the role of the generative model $p(o,s)$, the tractable student policy is the approximate posterior $q(s)$, and the per-token reverse-KL dist
Methods / Techniques
  • Free energy minimization
  • Bayesian modeling and inference

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2026. On-Policy Distillation as Active Inference in Finite Variational Models. Zenodo. DOI: 10.5281/zenodo.20747834. URL: https://doi.org/10.5281/zenodo.20747834.

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