google-deepmind / google-deepmind/dm_env

Is there a render function like that of gym environments?

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Dominant language
Python
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Description

Hi!

I was looking at environments used in dm_control but I couldn't figure out how to render the environment inherited from dm_env. Is there a function like the render function of gym environments? How do you usually do that? I would appreciate it a lot if you could provide any advice :)

Contributor guide

Open the contributing guide

Research direction

Start by reading the dm_env environment interface and checking how dm_control environments expose rendering, then compare that with Gym's render function. The issue is done when the supported rendering approach, or the absence of one, is clearly documented with a usable example or pointer.

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Assessment

Tech stack
python
Domain
api, machine-learning
Issue type
Documentation
Difficulty
2/5
Estimated time
1-3 hours
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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