From 0947ee000552d0e268069e35cbff1a12613e6be3 Mon Sep 17 00:00:00 2001 From: Daochen Zha Date: Sun, 13 Jun 2021 19:50:01 -0500 Subject: [PATCH] Update README --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index fdb904b..061fb4b 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,5 @@ # RLCard Showdown -This is the GUI support for the [RLCard](https://github.com/datamllab/rlcard) project and DouZero project. RLCard-Showdown provides evaluation and visualization tools to help understand the performance of the agents. It includes a replay module, where you can analyze the replays, and a PvE module, where you can play with the AI interactively. Currently, we only support Leduc Hold'em and Dou Dizhu. The frontend is developed with [React](https://reactjs.org/). The backend is based on [Django](https://www.djangoproject.com/) and [Flask](https://flask.palletsprojects.com/). Have fun! +This is the GUI support for the [RLCard](https://github.com/datamllab/rlcard) project and [DouZero](https://github.com/kwai/DouZero) project. RLCard-Showdown provides evaluation and visualization tools to help understand the performance of the agents. It includes a replay module, where you can analyze the replays, and a PvE module, where you can play with the AI interactively. Currently, we only support Leduc Hold'em and Dou Dizhu. The frontend is developed with [React](https://reactjs.org/). The backend is based on [Django](https://www.djangoproject.com/) and [Flask](https://flask.palletsprojects.com/). Have fun! * Official Website: [http://www.rlcard.org](http://www.rlcard.org) * Tutorial in Jupyter Notebook: [https://github.com/datamllab/rlcard-tutorial](https://github.com/datamllab/rlcard-tutorial) @@ -7,7 +7,7 @@ This is the GUI support for the [RLCard](https://github.com/datamllab/rlcard) pr * Document: [Click Here](docs/README.md) ## Cite this work -Zha, Daochen, Kwei-Herng Lai, Songyi Huang, Yuanpu Cao, Keerthana Reddy, Juan Vargas, Alex Nguyen, Ruzhe Wei, Junyu Guo, and Xia Hu. "RLCard: A Platform for Reinforcement Learning in Card Games." In IJCAI. 2020. +Daochen Zha, Kwei-Herng Lai, Songyi Huang, Yuanpu Cao, Keerthana Reddy, Juan Vargas, Alex Nguyen, Ruzhe Wei, Junyu Guo, and Xia Hu. "RLCard: A Platform for Reinforcement Learning in Card Games." In IJCAI. 2020. ```bibtex @inproceedings{zha2020rlcard,