Supplementary Dataset for: "Exploration Through Introspection: A Self-Aware Reward Model"

Description Supplementary dataset for the paper "Exploration Through Introspection: A Self-Aware Reward Model" accepted at the AAAI-2026 Workshop on Theory of Mind for Artificial Intelligence. This dataset contains the pre-computed grid search results for the Stationary, Non-Stationary, and Lifetime environments presented in the associated study. Purpose: These files are provided to facilitate the immediate reproduction of the paper's figures, plots, and statistical tests. Using this dataset allows researchers to bypass the computationally intensive grid search and proceed directly to analysis. Usage Instructions: To use these results with the accompanying source code, place the .csv files into the corresponding experiment directory within the repository structure: experiments/batch_grid_search/[experiment_name]/