https://github.com/corl-team/xland-minigrid

JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️
https://github.com/corl-team/xland-minigrid

Keywords

jax meta-reinforcement-learning minigrid python reinforcement-learning xland

Last synced: 11 months ago
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Acceptance Criteria

Repository metadata

JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️


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GitHub Events

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Last Year

Committers metadata

Last synced: over 1 year ago

Total Commits: 33
Total Committers: 2
Avg Commits per committer: 16.5
Development Distribution Score (DDS): 0.03

Commits in past year: 33
Committers in past year: 2
Avg Commits per committer in past year: 16.5
Development Distribution Score (DDS) in past year: 0.03

Name Email Commits
Howuhh h****h@g****m 32
Vladislav Kurenkov c****k@g****m 1

Committer domains:


Issue and Pull Request metadata

Last synced: over 1 year ago

Total issues: 4
Total pull requests: 1
Average time to close issues: N/A
Average time to close pull requests: N/A
Total issue authors: 3
Total pull request authors: 1
Average comments per issue: 2.75
Average comments per pull request: 1.0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0

Past year issues: 4
Past year pull requests: 1
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 3
Past year pull request authors: 1
Past year average comments per issue: 2.75
Past year average comments per pull request: 1.0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/corl-team/xland-minigrid

Top Issue Authors

  • Howuhh (2)
  • carlosluis (1)
  • ntoxeg (1)

Top Pull Request Authors

  • floringogianu (1)

Top Issue Labels

  • enhancement (2)
  • good first issue (1)
  • documentation (1)
  • help wanted (1)
  • bug (1)

Top Pull Request Labels


Dependencies

.github/workflows/codestyle.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
pyproject.toml pypi
  • flax >=0.7.0
  • jax >=0.4.13
  • jaxlib >=0.4.13
  • rich >=13.4.2
setup.py pypi

Score: 5.683579767338681