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VQV Signal

OPEN SOURCE SOURCE-BACKED TECHNICAL

Towards Interaction Regulation from Human Feedback via Free Energy Minimization

A central challenge across control and learning is the design of mechanisms regulating the interactions between humans and autonomous agents. Inspired by the free energy principle from computational neuroscience, we introduce a control-theoretical framework t...

Source: arXiv · arxiv.org Published 2026-09-16T15:56:21+00:00 Detected 2026-09-17T05:17:45+00:00
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A central challenge across control and learning is the design of mechanisms regulating the interactions between humans and autonomous agents. Inspired by the free energy principle from computational neuroscience, we introduce a control-theoretical framework t...

A central challenge across control and learning is the design of mechanisms regulating the interactions between humans and autonomous agents. Inspired by the free energy principle from computational neuroscience, we introduce a control-theoretical framework to integrate human preferences online into an agent...

Signal Strength 95% Technical label SOURCE-BACKED Public Interest 27 Category OPEN SOURCE Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 0 Novelty Interest Score 70 Consequence Score 50 Curiosity Score 16 Shareability Score 41

VQV surfaced this signal because it is recent, relevant to AI Agents, connected to arXiv.