1.安裝Anaconda。

去清華映象下載anaconda3_4.3.0-linux-x86_64.sh，然後在終端中輸入以下命令進行安裝：

cd downloads
bash anaconda3_4.3.0-linux-x86_64.sh

//gymlab是自己起的虛擬環境名稱 python=x.y指定python版本
conda create --name gymlab python=3.5

先重新開啟一個終端，然後遵循以下步驟：

//啟用虛擬環境
source activate gymlab
sudo apt install git
git clone https://github.com/openai/gym.git
cd gym
pip install -e '.[all]'
pip install --upgrade setuptools
pip install numpy Matplotlib
pip install opencv-python
 

Failed building wheel for atari-py
Failed building wheel for Box2D-kengz

sudo apt-get install cmake
sudo apt-get install -y python-numpy python-dev cmake zlib1g-dev libjpeg-dev xvfb libav-tools xorg-dev python-opengl libboost-all-dev libsdl2-dev swig
pip install -e '.[all]'
 

如果碰到無法安裝mujoco-py的錯誤，使用以下方法解決（挨個試，然後還是沒裝上，然後我就不管了，去裝tensorflow了，結果裝完tensorflow之後再執行這些程式碼，就非常意外的裝上了。。。）：

sudo apt-get install python3-dev
sudo apt-get install libevent-dev
yum install kernel-devel libxslt-devel libffi-devel python-devel mysql-devel zlib-devel openssl-devel -y

python -m pip install --upgrade --force pip 
pip install setuptools==33.1.1
pip install distribute
sudo apt-get update

python3 -m pip install aiohttp
python3 -m pip install --upgrade pip 
 

pip3 install -U 'mujoco-py<1.50.2,>=1.50.1' 

git clone https://github.com/openai/mujoco-py  
cd mujoco-py  
pip install -e . --no-cache  

4.安裝tensorflow

接上步，執行以下程式碼即可：

pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.1-cp35-cp35m-linux_x86_64.whl

5.配置環境變數。

執行以下命令進入配置檔案：

sudo gedit ~/.bashrc

//"home/lch/gym"是我的機器中gym路徑，大家自行更換
export PYTHONPATH="/home/lch/gym:$PYTHONPATH"

source ~/.bashrc

source activate gymlab

import gym
import tensorflow
env=gym.make('CartPole-v0')
env.reset()
env.render()