The Ideal RL algorithm: Self-Programming module.
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Containerized self-programming module with built-in instructional assets and export workflows.
This repository packages the IDEAL Section 4 (self-programming) runtime and documentation into a Podman/Docker-ready .NET image. The container supports input-driven execution (existence, cycles, format), machine-readable JSON outputs, and direct retrieval of instructional content used by the module.
Key capabilities:
Input-driven cognitive runtime with multiple existence profiles Text and JSON output modes for human and pipeline use Packaged Section 4 instructional README and figures in-container One-command export of instructional assets to host storage Automated PDF generation workflow for instructional documentation This makes the project suitable for both autonomous behavior experiments and reproducible instructional delivery in CI or local container workflows.
Content type
Image
Digest
sha256:7ac507da5…
Size
82.1 MB
Last updated
6 months ago
docker pull cartheur/ideal-amd64