linux下完整安装gym
gym是个强化学习的环境库，初学不想手写个游戏，用它是在方便不过的，但是很难安装。
这里从头介绍，先再anaconda里建个环境然后激活，执行如下安装命令：
python -m pip install --upgrade pip -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install torch -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install torchvision -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install opencv-python -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install mujoco-py==2.0.2.8 -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install atari-py -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install tensorflow-gpu -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install scikit-image -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install visdom -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install tensorboardX -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install gensim -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install py2neo -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install pycocotools -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install wheel -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install gevent -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install libffi-dev -i https://pypi.tuna.tsinghua.edu.cn/simple
至此复制粘贴就可以，下面有些难度了
先安装zlib Index of /fossils
下载到一个位置 执行./configure
make
make install
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#安装pcre,PCRE download | SourceForge.net下载
然后解压：unzip pcre-8.45.zip
cd pcre-8.45
./configure --prefix=/usr \
--docdir=/usr/share/doc/pcre-8.45 \
--enable-unicode-properties \
--enable-pcre16 \
--enable-pcre32 \
--enable-pcregrep-libz \
--enable-pcregrep-libbz2 \
--enable-pcretest-libreadline \
--disable-static &&
make
make install 如果没有bzlib.h:则切换到管理员执行
apt-get install zlib1g
apt-get install libbz2-dev
apt-get install apt-get install libboost-all-dev如果没有readline/readline.h：可忽略，不管它
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然后安装swig
下载Survey
然后导入linux某个位置，解压，进入目录下（类似之前pcre的步骤），，执行
./configure --prefix=/usr \
--without-clisp \
--without-maximum-compile-warnings &&
make
make install
install -v -m755 -d /usr/share/doc/swig-4.0.2
cp -v -R Doc/* /usr/share/doc/swig-4.0.2可能报错：缺少libpcre.so.1，则进入linux的usr/lib文件夹，再把pcre-8.41/.libs/libpcre.so.1复制到usr/lib下。之后再进入swig-4.0.2的目录下，重新执行上面命令
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然后安装mujoco-py和Mujoco,先下载Mujoco
MuJoCo
去这个网站下载mujoco150，mujoco200全下载解压，还有许可证mjket.txt
再linux上随便找个位置新建.mujoco文件，把mujoco150和mujoco200放在这里，然后把mjket.txt分别复制到：.mujoco，.mujoco/mujoco200/bin，.mujoco/mujoco200/bin
然后添加环境(我的路径是：~/.mujoco/mjpro150/bin)，先添加150，错了后面有提示：
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:~/.mujoco/mjpro150/bin然后安装mujoco-py，一定要安装patchelf:
curl -o /usr/local/bin/patchelf https://s3-us-west-2.amazonaws.com/openai-sci-artifacts/manual-builds/patchelf_0.9_amd64.elf
sudo chmod +x /usr/local/bin/patchelfpip install mujoco-py==2.0.2.8 -i https://pypi.tuna.tsinghua.edu.cn/simple
然后运行
python
import mujoco_py查看是否安装好，如果提示报错，并且是mujoco版本不对，会提示你添加环境变量
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:~/.mujoco/mjpro200/bin，再看看。
然后执行
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/hz3/.mujoco/mjpro150/bin/
pip install box2d -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install box2d-py -i https://pypi.tuna.tsinghua.edu.cn/simple没有报错则：
pip install gym[all] -i https://pypi.tuna.tsinghua.edu.cn/simple如果报错不能访问patchelf，则：sudo chmod +x /usr/local/bin/patchelf
如果报错：Note: Gym no longer distributes ROMs.
则pip install gym[accept-rom-license]
如果没有GL/osmesa.h：则切换到管理员：sudo apt-get install libosmesa6-dev
至此安装完毕，
如果不安装mujoco_py直接pip install gym不报错，但不能全部安装完成，用gym库时候不能导入环境。