ML Anthology

Learning and Using Hand Abstraction Values for Parameterized Poker Squares

Todd W. Neller, Colin M. Messinger, Zuozhi Yang
AAAI 2016 pp. 4095-4100
doi:10.1609/AAAI.V30I1.9859 /aaai/2016/neller2016aaai-learning/

Abstract

We describe the experimental development of an AI player that adapts to different point systems for Parameterized Poker Squares. After introducing the game and research competition challenge, we describe our static board evaluation utilizing learned evaluations of abstract partial Poker hands. Next, we evaluate various time management strategies and search algorithms. Finally, we show experimentally which of our design decisions most signicantly accounted for observed performance.

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Text

Neller et al. "Learning and Using Hand Abstraction Values for Parameterized Poker Squares." AAAI Conference on Artificial Intelligence, 2016. doi:10.1609/AAAI.V30I1.9859

Markdown

[Neller et al. "Learning and Using Hand Abstraction Values for Parameterized Poker Squares." AAAI Conference on Artificial Intelligence, 2016.](https://mlanthology.org/aaai/2016/neller2016aaai-learning/) doi:10.1609/AAAI.V30I1.9859

BibTeX

@inproceedings{neller2016aaai-learning,
  title     = {{Learning and Using Hand Abstraction Values for Parameterized Poker Squares}},
  author    = {Neller, Todd W. and Messinger, Colin M. and Yang, Zuozhi},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2016},
  pages     = {4095-4100},
  doi       = {10.1609/AAAI.V30I1.9859},
  url       = {https://mlanthology.org/aaai/2016/neller2016aaai-learning/}
}