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The Free Inference Dimension: Complexity Measure for Zero-Collision Navigation under Hypothesis Mixtures

This story is from 2026-09-17. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.17816v1 Announce Type: new Abstract: Solomonoff induction frames prediction as a mixture over computable hypotheses, typically leading to identification of the true environment. In a finite meta-reinforcement learning setting with nested constraint families, in our previous work, we obse…

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  1. 2026-09-17 04:00 · arXiv cs.LG
    The Free Inference Dimension: Complexity Measure for Zero-Collision Navigation under Hypothesis Mixtures

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