Solving Wordle in 3.64 guesses on average, 99.4% of the time
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Re: Solving Wordle in 3.64 guesses on average, 99.4% of the time
#2If you want to go fancy somehow calculate with bigramms. If you guess c you don't have to guess k blindly too, etc.
Re: Solving Wordle in 3.64 guesses on average, 99.4% of the time
#3Why optimize for greens? Better to rule out more first no matter the position. I think it narrows the search space better. If you want to go fancy somehow calculate with bigramms. If you guess c you don't have to guess k blindly too, etc.
I haven't yet experimentally tested this, but I hope to soon! It may be that a green letter in position rules out more possible targets than a grey letter.
Re: Solving Wordle in 3.64 guesses on average, 99.4% of the time
#4Why optimize for greens? Better to rule out more first no matter the position. I think it narrows the search space better. If you want to go fancy somehow calculate with bigramms. If you guess c you don't have to guess k blindly too, etc.
> Why optimize for greens? Better to rule out more first no matter the position. I haven't yet experimentally tested this, but I hope to soon! It may be that a green letter in position rules out more possible targets than a grey letter.
But manually I'm no where close to 3.6 either :). Also often too lazy.
Re: Solving Wordle in 3.64 guesses on average, 99.4% of the time
#5Why optimize for greens? Better to rule out more first no matter the position. I think it narrows the search space better. If you want to go fancy somehow calculate with bigramms. If you guess c you don't have to guess k blindly too, etc.
Re: Solving Wordle in 3.64 guesses on average, 99.4% of the time
#6> shave: [slate: 20202, share: 22202, shame: 22202, shape: 22202, shake: 22202, shade: 22202]
I guess it needs to find the right choice of [r, m, p, k, d, v] to get "shave" (since 'v' is so rare it takes 6 guesses!). Trying "marks" and "paved" would narrow that list down in 2 guesses (and a third to actually try "shave")
Anyone code this up yet? (I haven't, I took a greedy approach too [0]). Wonder how to generalize such a plan.
Re: Solving Wordle in 3.64 guesses on average, 99.4% of the time
#7Earlier quoted context omitted.
> Why optimize for greens? Better to rule out more first no matter the position. I haven't yet experimentally tested this, but I hope to soon! It may be that a green letter in position rules out more possible targets than a grey letter.
I thought of yellows. Taking frequent letters over words with sub-optimal letters but in the right positions. But manually I'm no where close to 3.6 either :). Also often too lazy.
Re: Solving Wordle in 3.64 guesses on average, 99.4% of the time
#8This could be improved by looking one step further, but this would probably require some kind of optimization / heuristic / approximation to make it computationally feasible.
Re: Solving Wordle in 3.64 guesses on average, 99.4% of the time
#9Why optimize for greens? Better to rule out more first no matter the position. I think it narrows the search space better. If you want to go fancy somehow calculate with bigramms. If you guess c you don't have to guess k blindly too, etc.
If you want to get really fancy, a full minimax solution is probably feasible without massive resources. Pretend it’s a two player game with one player guessing and the other player thinking of a potentially different word for each guess subject to the constraint of being consistent with all previous answers.
Unfortunately, I can’t seem to dig up the tweet.
Re: Solving Wordle in 3.64 guesses on average, 99.4% of the time
#10It's interesting to see the edge cases where the algorithm struggles to find the last letter. > shave: [slate: 20202, share: 22202, shame: 22202, shape: 22202, shake: 22202, shade: 22202] I guess it needs to find the right choice of [r, m, p, k, d, v] to get "shave" (since 'v' is so rare it takes 6 guesses!). Trying "marks" and "paved" would narrow that list down in 2 guesses (and a third to actually try "shave") Any…