cfperez

## jupyter_gym_render.md

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                cfperez
                / jupyter_gym_render.md
            
            
              Created
              August 30, 2018 17:45
                — forked from andrewschreiber/jupyter_gym_render.md
            
              
                How to stream OpenAI Gym environment rendering within a Jupyter Notebook
              
          
    Open jupyter with

$ xvfb-run -s "-screen 0 1400x900x24" jupyter notebook

In Jupyter

import matplotlib.pyplot as plt
%matplotlib inline

After each step

def show_state(env, step=0):


## waya-dl-setup.sh
#!/bin/bash

# install CUDA Toolkit v8.0
# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network))
CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb"
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG}
sudo dpkg -i ${CUDA_REPO_PKG}
sudo apt-get update
sudo apt-get -y install cuda

## startup.py
%load_ext autoreload
%autoreload 1
%matplotlib inline
%config InlineBackend.figure_format='retina'

from __future__ import division, print_function
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
	#!/bin/bash

	# install CUDA Toolkit v8.0
	# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network))
	CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb"
	wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG}
	sudo dpkg -i ${CUDA_REPO_PKG}
	sudo apt-get update
	sudo apt-get -y install cuda
	%load_ext autoreload
	%autoreload 1
	%matplotlib inline
	%config InlineBackend.figure_format='retina'

	from __future__ import division, print_function
	import pandas as pd
	import numpy as np
	import matplotlib.pyplot as plt
	import seaborn as sns