Cite this work

@INPROCEEDINGS{10346191,
  author={Filevich, Juan Pablo and Cancela, Héctor},
  booktitle={2023 XLIX Latin American Computer Conference (CLEI)}, 
  title={Approximating Nash Equilibria for Uruguayan Truco: A Comparison of Monte Carlo and Machine Learning Approaches}, 
  year={2023},
  volume={},
  number={},
  pages={1-5},
  keywords={Training;Deep learning;Monte Carlo methods;Machine learning algorithms;Memory management;Games;Reinforcement learning;Truco;Computational Game Theory;Imperfect-Information Games;Artificial Intelligence;Regret Minimization;Reinforcement Learning;Deep Reinforcement Learning},
  doi={10.1109/CLEI60451.2023.10346191}}

You can download the t1k22 dataset from HF or the Internet Archive:

• huggingface.co/datasets/filevich/t1k22
• archive.org/details/t1k22