DamianoBrunori / MultiUAV-OpenAIGym

An OpenaAIGym-based framework allowing to test hybrid approaches (RL + path planning) for multi-UAV systems that are supposed to provide smart services.

Date Created 2020-06-10 (4 years ago)

Commits 60 (last one 9 months ago)

Stargazers 53 (0 this week)

Watchers 3 (0 this week)

Forks 13

License unknown

Ranking

RepositoryStats indexes 565,279 repositories, of these DamianoBrunori/MultiUAV-OpenAIGym is ranked #433,803 (23rd percentile) for total stargazers, and #413,827 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #81,785/111,292.

DamianoBrunori/MultiUAV-OpenAIGym is also tagged with popular topics, for these it's ranked: reinforcement-learning (#1,004/1260), uav (#101/133), path-planning (#75/108)

Other Information

Homepage URL: https://ieeexplore.ieee.org/document/9431048

All Topics

uav multi-uav multi-agent path-planning reinforcement-learning

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

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

updated: 2024-09-28 @ 12:33pm, id: 271331682 / R_kgDOECwxYg