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 (may not be active yet)
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: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): PsiUEngineRL_0.1.3.tgz, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PsiUEngineRL to link to this page.