[Reinforcement Learning] Setting up MuJoCo with OpenAI Gym

Some details need more research, but works for now!

MuJoCo is a advanced physical simulation tool, developed by Emo Todorov for Roboti LLC
mujoco-py is a glue to let people use MuJoCo in python, developed by OpenAI Robotics team
OpenAI Gym is a modular python package to provide environments for RL, developed by OpenAI

Install MuJoCo

Get License

  1. Download mjpro150_linux.zip from https://www.roboti.us/index.html
  2. Get 1 year “Personal License” or 30 days “Trial License”
  3. Download mjkey.txt that will be emailed

Install MuJoCo

  1. Make directory in root named /.mujoco (in root for convenience in integration with mujoco-py)
  2. Unzip mjpro150_linux.zip to /.mujoco which will make /.mujoco/mjpro150/
  3. Save mjkey.txt to /.mujoco and /.mujoco/mjpro150/bin/ (one in /.mujoco/mjpro150/bin/ is for ./simulate to test MuJoCo working)
  4. Add environment variables to ~/.bashrc
export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/.mujoco/mjpro150/bin"
export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/lib/nvidia-384"

Test MuJoCo

  1. Go to /.mujoco/mjpro150/bin
  2. Run ./simulate

Install mujoco-py

  1. Clone mujoco-py from https://github.com/openai/mujoco-py
  2. Install to python3 (using sudo python3 -m pip install -e . –no-cache)
  3. Add environment variables to ~/.bashrc
export MUJOCO_PY_MJPRO_PATH="/.mujoco/mjpro150"
export MUJOCO_PY_MUJOCO_PATH="/.mujoco"
export MUJOCO_PY_MJKEY_PATH="/.mujoco/mjkey.txt"

Install OpenAI Gym

Recommend installing this after MuJoCo and mujoco-py.

  1. Install to python3 (using sudo python3 -m pip install gym[ALL])

Test All Together

  1. Test using python script (if this works, you are good to go)
import gym

env = gym.make('Humanoid-v2')
for _ in range(1000):
    action = env.action_space.sample()



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