This data repository contains the environments, logs, models, and analysis outputs used in the experiments of the associated paper. It is organized into four main experiment groups: action_time (inference/action selection time analysis), generalization (evaluation on unseen environments), hyperopt (Optuna-based hyperparameter optimization), and action_space_plots (UMAP visualization of latent action spaces). A shared config directory provides all environment generation and experiment configurations used across runs. Each experiment follows a consistent structure with three main components: envs (benchmark environments and splits), logs (training/evaluation runs, checkpoints, and metrics), and optionally gae (Graph Autoencoder models, embeddings, and training logs). A README file precisely describes the structure of the attached repository. The data repository will be de-anonymized upon paper acceptance.