在google.colab中配置mujoco和gym环境

在学习CS285时找了很多方法在google.colab中配置mujoco和gym环境，但由于本身mujoco版本很多，且在被OpenAI收购之前需要申请许可证所以经常环境配置失败，以下为找到的可用解决方案的代码：

import os
from google.colab import drive
drive.mount('/content/gdrive')
DRIVE_PATH = '/content/gdrive/My\ Drive/cs285_f2021'
DRIVE_PYTHON_PATH = DRIVE_PATH.replace('\\', '')
if not os.path.exists(DRIVE_PYTHON_PATH):
  %mkdir $DRIVE_PATH

## the space in `My Drive` causes some issues,
## make a symlink to avoid this
SYM_PATH = '/content/cs285_f2021'
if not os.path.exists(SYM_PATH):
  !ln -s $DRIVE_PATH $SYM_PATH
%cd $SYM_PATH
!git clone https://github.com/berkeleydeeprlcourse/homework_fall2021.git
%cd homework_fall2021/hw1
%pip install -r requirements_colab.txt
%pip install -e .

!apt-get install -y \
    libgl1-mesa-dev \
    libgl1-mesa-glx \
    libglew-dev \
    libosmesa6-dev \
    software-properties-common

!apt-get install -y patchelf

!pip install gym
!pip install free-mujoco-py

import mujoco_py
import gym

!apt update
!apt install -y --no-install-recommends \
        build-essential \
        curl \
        git \
        gnupg2 \
        make \
        cmake \
        ffmpeg \
        swig \
        libz-dev \
        unzip \
        zlib1g-dev \
        libglfw3 \
        libglfw3-dev \
        libxrandr2 \
        libxinerama-dev \
        libxi6 \
        libxcursor-dev \
        libgl1-mesa-dev \
        libgl1-mesa-glx \
        libglew-dev \
        libosmesa6-dev \
        lsb-release \
        ack-grep \
        patchelf \
        wget \
        xpra \
        xserver-xorg-dev \
        xvfb \
        python-opengl \
        ffmpeg

from pyvirtualdisplay import Display

display = Display(visible=0, size=(1400, 900))
display.start()