如何在centos7.9中搭建openai

1. 安装依赖库

sudo yum install epel-release
sudo yum install python36 python36-devel python36-pip python36-setuptools python36-tools
sudo yum install cmake gcc gcc-c++ libstdc++-static
sudo yum install atlas-devel blas-devel lapack-devel numpy scipy

2. 安装OpenAI

sudo pip3 install gym
sudo pip3 install tensorflow
sudo pip3 install keras
sudo pip3 install opencv-python
sudo pip3 install pybullet
sudo pip3 install box2d
sudo pip3 install mujoco-py
sudo pip3 install gym[atari]

3. 安装MuJoCo

MuJoCo是一种物理仿真引擎，支持OpenAI Gym的一些环境，如Ant、Hopper、HalfCheetah等。

首先，您需要注册并获取MuJoCo的许可证文件，然后可以按照以下步骤安装MuJoCo：

cd ~
wget https://www.roboti.us/download/mjpro150_linux.zip
unzip mjpro150_linux.zip
rm mjpro150_linux.zip

然后将许可证文件复制到MuJoCo的bin目录中：

cd ~/mjpro150/bin
cp /path/to/mjkey.txt .

最后，将MuJoCo添加到您的bashrc文件中：

echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:~/mjpro150/bin' >> ~/.bashrc
source ~/.bashrc

4. 测试OpenAI

python3
import gym
env = gym.make('CartPole-v0')
for i_episode in range(20):
    observation = env.reset()
    for t in range(100):
        env.render()
        print(observation)
        action = env.action_space.sample()
        observation, reward, done, info = env.step(action)
        if done:
            print("Episode finished after {} timesteps".format(t+1))
            break
env.close()

如果您看到一个带有CartPole环境的窗口，那么您已经成功地安装和测试了OpenAI Gym！