Practical Utility of Algorithm Variants

Background: The Unbounded Minimax-based class of search algorithms operates without a fixed depth limit and incorporates a completion technique to handle game states whose exact minimax value is unknown. Algorithms in this class are designed to eventually determine the best possible strategy for perfect information, two-player games.

Question / Future Work: The paper confirms that any algorithm belonging to the generalized class of Unbounded Minimax-based algorithms, which inherently use the completion technique, is complete, meaning it can compute the true minimax value of any state in finite time. Future work could explore the practical utility and performance characteristics of the other, unanalyzed instantiations of these abstract algorithms (beyond Unbounded Best-First Minimax and Descent Minimax) across a broader range of game types or under different heuristic conditions.