arXiv:1305.1010cs.GT
An Optimal Mastermind (4,7) Strategy and More Results in the Expected Case
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Abstract
This paper presents an optimal strategy for solving the 4 peg-7 color Mastermind MM(4,7) in the expected case (4.676) along with optimal strategies or upper bounds for other values. The program developed is using a depth-first branch and bound algorithm relying on tight upper bound, dynamic lower bound evaluation and guess equivalence to prune symmetric tree branches.
I've been studying the game of hangman (somewhat obsessively) for the last 6 or so years. I only recently discovered this Knuth paper via An Optimal Mastermind (4,7) Strategy and More Results in the Expected Case [1]. I think the reason it has captivated me for so long is…
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