I’m working with OpenAI Gym and want to show the environment renders directly in my Jupyter notebook cells instead of opening separate windows. Right now when I call env.render() it opens a new window which is not ideal for my workflow. I know matplotlib has something like: python %matplotlib inline This makes all matplotlib plots appear right in the notebook output. Is there a similar approach for gym environments? I want the visual output to display inline so I can see the agent’s progress without switching between windows. Any suggestions on how to achieve this inline rendering behavior for gym environments would be really helpful.
Had the same problem when I started with gym environments for RL projects. The fix depends on what rendering modes your environment supports. Most gym environments have an ‘rgb_array’ mode that returns frames as numpy arrays instead of opening separate windows. You can grab this array and show it with matplotlib right in your notebook cell. Try frame = env.render(mode='rgb_array') then plt.imshow(frame) and plt.show(). This worked great for me with CartPole, Atari games, and others. Just import matplotlib.pyplot first and set up the inline backend. Newer gym versions might use different parameter names, so check your environment’s docs if you hit any snags.