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An implementation of DQN and Monte Carlo Tree Search to play the game of Texas Hold'em

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TexasHoldem_ReinforcementLearning

An implementation of DQN and Monte Carlo Tree Search to play the game of Texas Hold'em

Version support: python 3.6.4

to set up the environment:

  • Make sure you have the virtual environment package: pip3 install virtualenv --user

  • Make a virtual environment: python3 -m venv .env

  • Activate the virtual environment: source .env/bin/activate

  • Download dependencies: pip3 install -r requirements.txt

To run the Agent:

  • option (1) - run the bash shell script (Linux / MacOS): bash ./run.sh

  • option (2) - run manually (universal): python3 ./main.py

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An implementation of DQN and Monte Carlo Tree Search to play the game of Texas Hold'em

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