DeNA / HandyRL

HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

Date Created 2020-06-03 (4 years ago)

Commits 799 (last one 9 months ago)

Stargazers 284 (0 this week)

Watchers 13 (0 this week)

Forks 43

License mit

Ranking

RepositoryStats indexes 610,149 repositories, of these DeNA/HandyRL is ranked #142,397 (77th percentile) for total stargazers, and #167,546 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #24,869/123,095.

DeNA/HandyRL is also tagged with popular topics, for these it's ranked: deep-learning (#2,941/8643), machine-learning (#2,810/8206), pytorch (#2,029/6099), reinforcement-learning (#434/1370), games (#140/495)

Other Information

DeNA/HandyRL has 30 open pull requests on Github, 261 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 11 open issues and 13 closed issues.

All Topics

games pytorch deep-learning policy-gradient machine-learning distributed-training reinforcement-learning

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Recent Commit History

234 commits on the default branch (master) since jan '22

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Languages

The only known language in this repository is Python

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updated: 2025-01-28 @ 10:07pm, id: 268993429 / R_kgDOEAiDlQ