
So, here are some improvements instead.įirst, we'll try to cut down the number of states. The method looks valid whether the implementation is indeed correct or not, I can't tell, but I'll just trust you on that. index 5 = 4 penalties).Īh, of course, dynamic programming to the rescue. The first four dimensions are the red, yellow, green, and blue color states, and the last dimension is the penalty state (index 1 = 0 penalties, index 2 = 1 penalty. That variable is a 5-D matrix of size 62圆2圆2圆2x5. It is a Matlab file with a variable called "QwixxW". Anyway, I hope some folks find it interesting!ĮDIT: Here is a link to the W vector described in the paper. I present some head-to-head results in the paper between the "optimal single player" strategy vs the "race to lock" strategy. However, just because you can achieve a high score in a single-player version of Qwixx doesn't necessarily mean that you can win multi-player games with that same strategy. Using an optimal strategy outlined in the paper, a player is able to achieve an average of 115.48 points, which is significantly higher than scores you would see in most multi-player games. The analysis is fairly technical, but I'm posting it here in case anybody is interested in the results.

The new analysis is in the form of an informal paper, titled Solving Single-Player Qwixx. Well now I've analyzed the single-player version of the game to try to maximize the number of points you can get in a solitaire version of the game. My previous post was geared toward developing a multi-player strategy that "races to lock" the colors as fast as possible. I had previously posted some statistics analysis of the dice game Qwixx. r/tabletopgamedesign - Designer's subreddit.r/boardgameexchange - selling/buying/trading games.
#QWIXX RULES LOCK TIMING HOW TO#
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#QWIXX RULES LOCK TIMING FULL#
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