Documented in Project Orga
Reinforcement Learning Card Games
We present RLCard, an open-source toolkit for reinforce- ment learning research in card games. It supports various card environments with easy-to-use interfaces, including Black- jack, Leduc Hold’em, Texas Hold’em, UNO, Dou Dizhu and Mahjong. The goal of RLCard is to bridge reinforcement learning and imperfect information games, and push forward the research of reinforcement learning in domains with mul- tiple agents, large state and action space, and sparse reward. In this paper, we provide an overview of the key components in RLCard, a discussion of the design principles, a brief in- troduction of the interfaces, and comprehensive evaluations of the environments. The codes and documents are available at https://github.com/datamllab/rlcard from RLCard: A Toolkit for Reinforcement Learning in Card Games by Zha, Lai, Cao et. al.
Pre steps for Windows
wsl --installwslLinux
apt install python3-pippip install rlcard[torch] WARNING: The scripts fonttools, pyftmerge, pyftsubset and ttx are installed in '/home/markus/.local/bin' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
WARNING: The scripts convert-caffe2-to-onnx, convert-onnx-to-caffe2 and torchrun are installed in '/home/markus/.local/bin' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
Successfully installed GitPython-3.1.29 contourpy-1.0.5 cycler-0.11.0 fonttools-4.38.0 gitdb-4.0.9 gitdb2-4.0.2 kiwisolver-1.4.4 matplotlib-3.6.1 python-dateutil-2.8.2 rlcard-1.0.9 smmap-5.0.0 termcolor-2.0.1 torch-1.12.1 typing-extensions-4.4.0