https://github.com/xiangyuan-zhang/controlgym

Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms
https://github.com/xiangyuan-zhang/controlgym

Keywords

benchmark-suite control high-dimensional-systems pde pde-solver reinforcement-learning-algorithms reinforcement-learning-environments

Last synced: 11 months ago
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Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms


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Last synced: 12 months ago

Total Commits: 4
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Development Distribution Score (DDS): 0.0

Commits in past year: 4
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Avg Commits per committer in past year: 4.0
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xiangyuan-zhang x****n@g****m 4

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Last synced: 11 months ago

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pypi.org: controlgym

large-scale safety-critical control benchmarks for reinforcement learning algorithms

  • Homepage:
  • Documentation: https://controlgym.readthedocs.io/
  • Licenses: MIT
  • Latest release: 1.0.0 (published about 1 year ago)
  • Last Synced: 2024-06-04T11:23:30.772Z (11 months ago)
  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 30 Last month
  • Rankings:
    • Dependent packages count: 10.103%
    • Average: 38.686%
    • Dependent repos count: 67.269%
  • Maintainers (1)

Dependencies

pyproject.toml pypi
  • gymnasium 0.29.1
  • matplotlib ^3.7.2
  • numpy ^1.24.3
  • python ^3.10
  • scipy ^1.11.1
  • torch ^2.0.1
requirements.txt pypi
  • gymnasium ==0.29.1
  • matplotlib >=3.7.2
  • numpy >=1.24.3
  • scipy >=1.11.1
  • torch >=2.0.1
setup.py pypi
  • gymnasium ==0.29.1
  • matplotlib >=3.7.2
  • numpy >=1.24.3
  • scipy >=1.11.1
  • torch >=2.0.1

Score: 6.142037405587356