![]() ![]() ![]() John's Connect 4 playground | John Tromp, 2004.Creating the (nearly) perfect Connect 4 bot | Gilles Vandewiele, 2017.Standing on the shoulders of giants: some great resources I've learnt from So this perfect solver project exists solely to beat another project of mine at a kid's game. Using this strategy, 4-in-a-Robot can still comfortably beat any human opponent (I've certainly never beaten it), but it does still lose if faced with a perfect solver. This strategy is a powerful weapon in the fight against asymptotic complexity - it caps the maximum time the solver spends on any given move. Consequently, if it couldn't find a game-ending state after searching to a specified depth, 4-in-a-robot stopped exploring subsequent moves and returned a heuristic evaluation of the intermediate game state. Solvers: perfect versus imperfectĤ-in-a-Robot did not require a perfect solver - it just needed to beat any human opponent. This readme documents the process of tuning and pruning a brute force minimax approach to solve progressively more complex game states. A Perfect Connect 4 Solver in Python IntroductionĪfter the 4-in-a-Robot project led me down a wormhole, I wanted to see if I could implement a perfect solver for Connect 4 in Python. ![]()
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