/Texas-Hold-em-AI

Research on Texas Hold'em AI

Primary LanguageJupyter NotebookApache License 2.0Apache-2.0

Texas Hold'em AI 🤖

CS Independent Study @UVa

Overview

This is an independent study on the application of current machine learning techniques into Texas Hold’em AI.

Setup

  • TensorFlow documentation

    # Ubuntu/Linux 64-bit
    $ sudo apt-get install python-pip python-dev
    # Ubuntu/Linux 64-bit, CPU only, Python 3.5
    $ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0-cp35-cp35m-linux_x86_64.whl
    
    # Mac OS X
    $ sudo easy_install pip3
    $ sudo easy_install --upgrade six
    # Mac OS X, CPU only, Python 3.4 or 3.5:
    $ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow-0.11.0-py3-none-any.whl
    
    
    $ sudo pip3 install --upgrade $TF_BINARY_URL
  • Jupyter Notebook documentation

    $ pip3 install --upgrade pip
    $ pip3 install jupyter
    $ jupyter notebook

Resources

  • Machine Learning
    • Framework
      • Awesome TensorFlow Link
      • TensorFlow Playground Link
      • Binary Stochastic Neurons in Tensorflow Link
    • Relavant Reports
      • End of Code by Wired
      • Why Randomness is Important for Deep Learning Link
    • Book
      • Neural Networks and Deep Learning Link
    • Research Paper
      • Deep Reinforcement Learning from Self-Play in Imperfect-Information Games PDF
      • Mastering the Game of Go with Deep Neural Networks and Tree Search PDF
  • Game Theory
    • prisoner dilemma game Link
  • Behavior Theory
  • Poker Strategy
    • the Poker Bank link
  • Related Course
  • Others' work

Acknowledge

Thanks Prof. David Evans for the instructions and supports.

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