CS294

Steps that worked (MuJoCo)

1. Try create conda env from file

   $ conda env create -f environment.yml

2. or

    ~$ more ~/.condarc
    channels:
      - intel
      - defaults
    show_channel_urls: true
   
   
    conda create -n mujoco intelpython3_full python=**3.5.2**
   

3. Then source activate mujoco

4. pip uninstall cython

5. pip install 'Cython>=0.27.2'

6. brew install gcc --without-multilib

7. unpack MuJoCo like this

    ~$ tree -L 2 .mujoco/
    .mujoco/
    └── mjpro150
        ├── bin
        ├── doc
        ├── include
        ├── model
        └── sample
   

8. put mjkey.txt to ~/.mujoco

9. install MuJoCo to conda environment

    pip install 'mujoco-py<1.50.2,>=1.50.1'
   

10. this should work

    $ ipython
    import mujoco_py
    from os.path import dirname
    model = mujoco_py.load_model_from_path("path-to-mujoco-py-checkout/xmls/claw.xml")
    sim = mujoco_py.MjSim(model)
    
    print(sim.data.qpos)
    # [ 0.  0.  0.  0.  0.  0.  0.  0.  0.  0.  0.  0.]
    
    sim.step()
    print(sim.data.qpos)
    # [  2.09217903e-06  -1.82329050e-12  -1.16711384e-07  -4.69613872e-11
    #   -1.43931860e-05   4.73350204e-10  -3.23749942e-05  -1.19854057e-13
    #   -2.39251380e-08  -4.46750545e-07   1.78771599e-09  -1.04232280e-08]
    

11. Intel Optimized Tensorflow Wheel Now Available on Ubuntu

12. until this get fixed openai/mujoco-py#80 do

    $ cd path-to-gym
    $ git remote add lobachevzky [email protected]:lobachevzky/gym.git
    $ git fetch lobachevzky
    $ git merge lobachevzky/master
    

    openai/gym#638

    https://github.com/openai/gym/pull/767/files#diff-3f48026043ba85dc635adababe52094cL12

13. intall Gym

    $ pip install -e .
    

14. hw1 (master)$ bash demo.bash should work now