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The following improvements/features have been introduced for this implementation of the m,n,k-game:
I suppose minimax can be further improved by storing beta-cutoff evaluations, using the best move(s) in iterative deepening search, and using the transposition table to store the results between each move executed; though I had a big setback trying to figure a non-trivial evaluation function and have yet to figure a good heuristic for the particular game variant.