Merge pull request #50 from huangshiyu13/dev

- add docker - update nlp package - update readme

Author: huangshiyu13

README.md

@@ -60,6 +60,7 @@ OpenRL-Lab将持续维护和更新OpenRL，欢迎大家加入我们的[开源社
 - [欢迎来到OpenRL](#欢迎来到openrl)
 - [目录](#目录)
 - [安装](#安装)
+- [使用Docker](#使用docker)
 - [快速上手](#快速上手)
 - [Gallery](#Gallery)
 - [使用OpenRL的项目](#使用OpenRL的项目)
@@ -96,6 +97,36 @@ pip install -e .
 openrl --version
 ```
 
+## 使用Docker
+
+OpenRL目前也提供了包含显卡支持和非显卡支持的Docker镜像。
+如果用户的电脑上没有英伟达显卡，则可以通过以下命令获取不包含显卡插件的镜像：
+```bash
+sudo docker pull openrllab/openrl-cpu
+```
+
+如果用户想要通过显卡加速训练，则可以通过以下命令获取：
+```bash
+sudo docker pull openrllab/openrl
+```
+
+镜像拉取成功后，用户可以通过以下命令运行OpenRL的Docker镜像：
+```bash
+# 不带显卡加速
+sudo docker run -it openrllab/openrl-cpu
+# 带显卡加速
+sudo docker run -it --gpus all --net host openrllab/openrl
+```
+
+进入Docker镜像后，用户可以通过以下命令查看OpenRL的版本然后运行测例：
+```bash
+# 查看Docker镜像中OpenRL的版本
+openrl --version
+# 运行测例
+openrl --mode train --env CartPole-v1
+```
+
+
 ## 快速上手
 
 OpenRL为强化学习入门用户提供了简单易用的接口，

README_en.md

@@ -79,6 +79,7 @@ For more information about OpenRL, please refer to the [documentation](https://o
 - [Welcome to OpenRL](#welcome-to-openrl)
 - [Outline](#outline)
 - [Installation](#installation)
+- [Use Docker](#use-docker)
 - [Quick Start](#quick-start)
 - [Gallery](#gallery)
 - [Projects Using OpenRL](#projects-using-openrl)
@@ -119,6 +120,35 @@ After installation, users can check the version of OpenRL through command line:
 openrl --version
 ```
 
+## Use Docker
+
+OpenRL currently provides Docker images with and without GPU support. 
+If the user's computer does not have an NVIDIA GPU, they can obtain an image without the GPU plugin using the following command:
+```bash
+sudo docker pull openrllab/openrl-cpu
+```
+
+If the user wants to accelerate training with a GPU, they can obtain it using the following command:
+```bash
+sudo docker pull openrllab/openrl
+```
+
+After successfully pulling the image, users can run OpenRL's Docker image using the following commands:
+```bash
+# Without GPU acceleration
+sudo docker run -it openrllab/openrl-cpu
+# With GPU acceleration 
+sudo docker run -it --gpus all --net host openrllab/openrl
+```
+
+Once inside the Docker container, users can check OpenRL's version and then run test cases using these commands: 
+```bash 
+# Check OpenRL version in Docker container  
+openrl --version  
+# Run test case  
+openrl --mode train --env CartPole-v1  
+```
+
 ## Quick Start
 
 OpenRL provides a simple and easy-to-use interface for beginners in reinforcement learning.