Leaderboard and Visualization for RLCard

Overview

RLCard Showdown

This is the GUI support for the 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. The backend is based on Django and Flask. Have fun!

Cite this work

Zha, Daochen, et al. "RLCard: A Platform for Reinforcement Learning in Card Games." IJCAI. 2020.

@inproceedings{zha2020rlcard,
  title={RLCard: A Platform for Reinforcement Learning in Card Games},
  author={Zha, Daochen and Lai, Kwei-Herng and Huang, Songyi and Cao, Yuanpu and Reddy, Keerthana and Vargas, Juan and Nguyen, Alex and Wei, Ruzhe and Guo, Junyu and Hu, Xia},
  booktitle={IJCAI},
  year={2020}
}

Installation

RLCard-Showdown has separated frontend and backend. The frontend is built with React and the backend is based on Django and Flask.

Prerequisite

To set up the frontend, you should make sure you have Node.js and NPM installed. Normally you just need to manually install Node.js, and the NPM package would be automatically installed together with Node.js for you. Please refer to its official website for installation of Node.js.

You can run the following commands to verify the installation

node -v
npm -v

For backend, make sure that you have Python 3.6+ and pip installed.

Install Frontend and Backend

The frontend can be installed with the help of NPM:

git clone -b master --single-branch --depth=1 https://github.com/datamllab/rlcard-showdown.git
cd rlcard-showdown
npm install

The backend of leaderboard can be installed with

pip3 install -r requirements.txt
cd server
python3 manage.py migrate
cd ..

Run RLCard-Showdown

  1. Launch the backend of leaderboard with
cd server
python3 manage.py runserver
  1. Download the pre-trained models in Google Drive or 百度网盘 提取码: qh6s. Extract it in pve_server/pretrained.

In a new terminal, start the PvE server (i.e., human vs AI) of DouZero with

cd pve_server
python3 run_douzero.py

Alternatively, you can start the PvE server interfaced with RLCard:

cd pve_server
python3 run_dmc.py

They are conceptually the same with minor differences in state representation and training time of the pre-trained models (DouZero is fully trained with more than a month, while DMC in RLCard is only trained for hours).

  1. Run the following command in another new terminal under the project folder to start frontend:
npm start

You can view leaderboard at http://127.0.0.1:3000/ and PvE demo of Dou Dizhu at http://127.0.0.1:3000/pve/doudizhu-demo. The backend of leaderboard will run in http://127.0.0.1:8000/. The PvE backend will run in http://127.0.0.1:5000/.

Demos

leaderboards upload doudizhu-replay leduc-replay

Contact Us

If you have any questions or feedback, feel free to drop an email to Songyi Huang for the frontend or Daochen Zha for backend.

Acknowledgements

We would like to thank JJ World Network Technology Co., LTD for the generous support, Chieh-An Tsai for user interface design, and Lei Pan for the help in visualizations.

Owner
Data Analytics Lab at Texas A&M University
We develop automated and interpretable machine learning algorithms/systems with understanding of their theoretical properties.
Data Analytics Lab at Texas A&M University
TorchDistiller - a collection of the open source pytorch code for knowledge distillation, especially for the perception tasks, including semantic segmentation, depth estimation, object detection and instance segmentation.

This project is a collection of the open source pytorch code for knowledge distillation, especially for the perception tasks, including semantic segmentation, depth estimation, object detection and i

yifan liu 147 Dec 03, 2022
ImageNet Adversarial Image Evaluation

ImageNet Adversarial Image Evaluation This repository contains the code and some materials used in the experimental work presented in the following pa

Utku Ozbulak 11 Dec 26, 2022
A simple log parser and summariser for IIS web server logs

IISLogFileParser A basic parser tool for IIS Logs which summarises findings from the log file. Inspired by the Gist https://gist.github.com/wh13371/e7

2 Mar 26, 2022
Simulate genealogical trees and genomic sequence data using population genetic models

msprime msprime is a population genetics simulator based on tskit. Msprime can simulate random ancestral histories for a sample of individuals (consis

Tskit developers 150 Dec 14, 2022
Yolo algorithm for detection + centroid tracker to track vehicles

Vehicle Tracking using Centroid tracker Algorithm used : Yolo algorithm for detection + centroid tracker to track vehicles Backend : opencv and python

6 Dec 21, 2022
Cosine Annealing With Warmup

CosineAnnealingWithWarmup Formulation The learning rate is annealed using a cosine schedule over the course of learning of n_total total steps with an

zhuyun 4 Apr 18, 2022
Human4D Dataset tools for processing and visualization

HUMAN4D: A Human-Centric Multimodal Dataset for Motions & Immersive Media HUMAN4D constitutes a large and multimodal 4D dataset that contains a variet

tofis 15 Nov 09, 2022
Deep learned, hardware-accelerated 3D object pose estimation

Isaac ROS Pose Estimation Overview This repository provides NVIDIA GPU-accelerated packages for 3D object pose estimation. Using a deep learned pose e

NVIDIA Isaac ROS 41 Dec 18, 2022
Network Compression via Central Filter

Network Compression via Central Filter Environments The code has been tested in the following environments: Python 3.8 PyTorch 1.8.1 cuda 10.2 torchsu

2 May 12, 2022
STBP is a way to train SNN with datasets by Backward propagation.

Spiking neural network (SNN), compared with depth neural network (DNN), has faster processing speed, lower energy consumption and more biological interpretability, which is expected to approach Stron

Ling Zhang 18 Dec 09, 2022
FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics

FusionNet_Pytorch FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics Requirements Pytorch 0.1.11 Pyt

Choi Gunho 102 Dec 13, 2022
Implementation of the "PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences" paper.

PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences Introduction Point cloud sequences are irregular and unordered in the spatial dimen

Hehe Fan 63 Dec 09, 2022
This repository contains the code for TACL2021 paper: SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization

SummaC: Summary Consistency Detection This repository contains the code for TACL2021 paper: SummaC: Re-Visiting NLI-based Models for Inconsistency Det

Philippe Laban 24 Jan 03, 2023
Differentiable Wavetable Synthesis

Differentiable Wavetable Synthesis

4 Feb 11, 2022
Builds a LoRa radio frequency fingerprint identification (RFFI) system based on deep learning techiniques

This project builds a LoRa radio frequency fingerprint identification (RFFI) system based on deep learning techiniques.

20 Dec 30, 2022
Source code for TACL paper "KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation".

KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation Source code for TACL 2021 paper KEPLER: A Unified Model for Kn

THU-KEG 138 Dec 22, 2022
[CVPR21] LightTrack: Finding Lightweight Neural Network for Object Tracking via One-Shot Architecture Search

LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search The official implementation of the paper LightTra

Multimedia Research 290 Dec 24, 2022
The `rtdl` library + The official implementation of the paper

The `rtdl` library + The official implementation of the paper "Revisiting Deep Learning Models for Tabular Data"

Yandex Research 510 Dec 30, 2022
Neurolab is a simple and powerful Neural Network Library for Python

Neurolab Neurolab is a simple and powerful Neural Network Library for Python. Contains based neural networks, train algorithms and flexible framework

152 Dec 06, 2022
Software for Multimodalty 2D+3D Facial Expression Recognition (FER) UI

EmotionUI Software for Multimodalty 2D+3D Facial Expression Recognition (FER) UI. demo screenshot (with RealSense) required packages Python = 3.6 num

Yang Jiao 2 Dec 23, 2021