DamianoBrunori / DAMIAN-Delay-Aware-MultI-Aerial-Navigation-DRL-based-environment-

An OpenAIGym-based framework allowing to test Delay-Aware Deep Reinforcement Learning algorithms for cooperative multi-UAV systems in fully customizable scenarios (e.g., coverage maximization, tracking, spotting).

Date Created 2023-12-19 (about a year ago)

Commits 21 (last one 4 months ago)

Stargazers 28 (0 this week)

Watchers 1 (0 this week)

Forks 2

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RepositoryStats indexes 595,856 repositories, of these DamianoBrunori/DAMIAN-Delay-Aware-MultI-Aerial-Navigation-DRL-based-environment- is ranked #578,034 (3rd percentile) for total stargazers, and #544,643 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #115,254/119,431.

DamianoBrunori/DAMIAN-Delay-Aware-MultI-Aerial-Navigation-DRL-based-environment- is also tagged with popular topics, for these it's ranked: deep-reinforcement-learning (#363/368), uav (#140/141)

Other Information

Homepage URL: https://www.insticc.org/node/TechnicalProgram/icaart/2024/presentationDetails/123479

All Topics

uav multi-uav multi-agent unmanned-aerial-vehicles deep-reinforcement-learning

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21 commits on the default branch (main) since jan '22

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updated: 2024-10-25 @ 06:18pm, id: 733593134 / R_kgDOK7m-Lg