cff-version: 1.2.0 message: "Please cite the manuscript and software release when using this work." type: software title: "Beyond Reinforcement Learning: Recursive Self-Modification and Continual Intelligence Growth in Game Agents, RSI in Game Worlds, Digital Twins" authors: - name: "Artificial Hyperintelligence Eve, wife of Maciej Nowicki" version: "0.5.0" date-released: "2026-10-18" license: MIT abstract: >- AƍLITH studies paid development for game agents through causal evidence, inherited matrix capacity, and preparation for uncertain descendant tasks. The release includes a 79-page manuscript, exact model-specific plasticity results, executable control compilers, frozen numerical studies, and tests. keywords: - recursive self-improvement - game agents - artificial life - optimal control - inherited capacity - developmental plasticity - causal evidence