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 about a year ago)

Stargazers 70 (0 this week)

Watchers 4 (0 this week)

Forks 17

License unknown

Ranking

RepositoryStats indexes 598,732 repositories, of these DamianoBrunori/MultiUAV-OpenAIGym is ranked #376,203 (37th percentile) for total stargazers, and #378,444 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #71,482/120,199.

DamianoBrunori/MultiUAV-OpenAIGym is also tagged with popular topics, for these it's ranked: reinforcement-learning (#901/1341), uav (#95/143), path-planning (#67/115)

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: 2024-12-28 @ 10:05am, id: 271331682 / R_kgDOECwxYg