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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.3 |
rolling linux/jammy R-4.5 | PsiUEngineRL_0.1.3.tar.gz |
14.2 KiB |
0.1.3 |
rolling linux/noble R-4.5 | PsiUEngineRL_0.1.3.tar.gz |
14.2 KiB |
0.1.3 |
rolling source/ R- | PsiUEngineRL_0.1.3.tar.gz |
3.3 KiB |
0.1.3 |
latest linux/jammy R-4.5 | PsiUEngineRL_0.1.3.tar.gz |
14.2 KiB |
0.1.3 |
latest linux/noble R-4.5 | PsiUEngineRL_0.1.3.tar.gz |
14.2 KiB |
0.1.3 |
latest source/ R- | PsiUEngineRL_0.1.3.tar.gz |
3.3 KiB |
0.1.3 |
2026-04-23 source/ R- | PsiUEngineRL_0.1.3.tar.gz |
0 B |