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PsiUEngineRL: Homotopy Type Theory Engine for Reinforcement Learning

Core architecture for interpreting continuous data streams as homotopy types. It evaluates identity paths against the Gnomonic Ratio ('Lombardi', 2026) <doi:10.5281/zenodo.20385840> and processes them via a dynamic 'Tableau Refutation Tree'. The engine categorizes data into necessity (BOX), possibility (DIAMOND), or noise based on deviation thresholds from the invariant value. Includes adaptive auto-tuning and native high-contrast Cartesian graphics for structural entropy isolation.

Version: 0.1.3
Depends: R (≥ 3.5)
Published: 2026-06-07
DOI: 10.32614/CRAN.package.PsiUEngineRL
Author: Roberto Lombardi [aut, cre]
Maintainer: Roberto Lombardi <lombardisedr at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: PsiUEngineRL results

Documentation:

Reference manual: PsiUEngineRL.html , PsiUEngineRL.pdf

Downloads:

Package source: PsiUEngineRL_0.1.3.tar.gz
Windows binaries: r-devel: PsiUEngineRL_0.1.3.zip, r-release: PsiUEngineRL_0.1.3.zip, r-oldrel: PsiUEngineRL_0.1.3.zip
macOS binaries: r-release (arm64): PsiUEngineRL_0.1.3.tgz, r-oldrel (arm64): PsiUEngineRL_0.1.3.tgz, r-release (x86_64): PsiUEngineRL_0.1.3.tgz, r-oldrel (x86_64): PsiUEngineRL_0.1.3.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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