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Expected Free Energy-based Planning as Variational Inference

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arXiv:2606. 20658v1 Announce Type: new Abstract: Planning under uncertainty requires agents to balance goal achievement with information gathering.

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Authors: Wouter W. L. Nuijten, Thijs van de Laar, Bert de Vries
Released: 2026-06-23 (16d ago)
Topic: Related to current project
Relation to my work: Read next because Expected Free Energy-based Planning as Variational Inference overlaps with clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)", clean result "The marker is a representational handle, not a behavioural one — sharing it between a villain persona and the assistant transfers no misalignment (HIGH confidence)", experiment "Factor screen for marker implantation + leakage (2^5: system-prompt length, answer-format length, persona-presence, on-policy, marker-only-loss)". Matching terms: under, rate, factor, position, model. Source: arxiv cs.AI (Artificial Intelligence).
arXiv: 2606.20658

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