incognite-lab / myGym

myGym enables fast prototyping of RL in the area of robotic manipulation and navigation.You can train different robots, in several environments on various tasks. There is automatic evaluation and benchmark tool. From version 2.1 there is support for multi-step tasks, multi-reward training and multi-network architectures.

Date Created 2020-12-22 (3 years ago)

Commits 857 (last one 9 days ago)

Stargazers 50 (0 this week)

Watchers 6 (0 this week)

Forks 11

License mit

Ranking

RepositoryStats indexes 579,555 repositories, of these incognite-lab/myGym is ranked #459,368 (21st percentile) for total stargazers, and #296,754 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #87,425/115,123.

incognite-lab/myGym is also tagged with popular topics, for these it's ranked: deep-learning (#6,948/8344), reinforcement-learning (#1,054/1296), robotics (#989/1235), real-time (#479/559), semantic-segmentation (#404/507), simulator (#291/332)

Other Information

incognite-lab/myGym has 1 open pull request on Github, 16 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 10 open issues and 40 closed issues.

There have been 7 releases, the latest one was published on 2024-02-05 (9 months ago)

Homepage URL: https://mygym.readthedocs.io/en/latest/

All Topics

vision robotics real-time simulator simulators deep-learning multi-network multi-step-rl pick-and-place robotics-simulation robotic-manipulation semantic-segmentation reinforcement-learning

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

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The primary language is Python but there's also others...

updated: 2024-11-06 @ 08:04pm, id: 323608027 / R_kgDOE0nd2w