google-deepmind / google-deepmind/dm_env
Is there a render function like that of gym environments?
Open
- Dominant language
- Python
- Stars
- 407
- Forks
- 57
- PR merge metrics
- No merged PRs in 30d
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
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