NVIDIA-NeMo / NVIDIA-NeMo/Gym

Discoverability for nested environment library integrations

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CLI env-integration needs-design
Dominant language
Python
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Forks
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Merged PRs (30d)
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Description

Environment library integrations yield many possible environments to use through Gym, but unless there is an explicit config present in Gym for each environment in the library, the supported environments aren't discoverable

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by examining how Gym discovers environment library integrations and where explicit per-environment configuration is defined. Trace a nested integration from registration to the list of supported environments; done means environments provided by the library are discoverable without adding an explicit Gym config for each one.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
35/100

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