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Finding the optimal human strategy for Wordle using maximum correct
  letter probabilities and reinforcement learning

Finding the optimal human strategy for Wordle using maximum correct letter probabilities and reinforcement learning

1 February 2022
B. Anderson
Jesse G. Meyer
ArXivPDFHTML

Papers citing "Finding the optimal human strategy for Wordle using maximum correct letter probabilities and reinforcement learning"

4 / 4 papers shown
Title
Non Verbis, Sed Rebus: Large Language Models are Weak Solvers of Italian
  Rebuses
Non Verbis, Sed Rebus: Large Language Models are Weak Solvers of Italian Rebuses
Gabriele Sarti
Tommaso Caselli
Malvina Nissim
Arianna Bisazza
ReLM
LRM
46
1
0
01 Aug 2024
Explore the difficulty of words and its influential attributes based on
  the Wordle game
Explore the difficulty of words and its influential attributes based on the Wordle game
Beibei Liu
Yuanfang Zhang
Shiyu Zhang
19
3
0
03 May 2023
Using Wordle for Learning to Design and Compare Strategies
Using Wordle for Learning to Design and Compare Strategies
Chao-Lin Liu
18
9
0
30 Apr 2022
Selecting Seed Words for Wordle using Character Statistics
Selecting Seed Words for Wordle using Character Statistics
Nisansa de Silva
11
12
0
07 Feb 2022
1