John-Wendell / DDPG-AirSim-Drone-Obstacle-Avoidance

Using DDPG and ConvLSTM to control a drone to avoid obstacle in AirSim

Date Created 2023-09-25 (about a year ago)

Commits 44 (last one 9 months ago)

Stargazers 30 (0 this week)

Watchers 2 (0 this week)

Forks 5

License mit

Ranking

RepositoryStats indexes 584,353 repositories, of these John-Wendell/DDPG-AirSim-Drone-Obstacle-Avoidance is ranked #559,590 (4th percentile) for total stargazers, and #478,709 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #110,479/116,326.

John-Wendell/DDPG-AirSim-Drone-Obstacle-Avoidance is also tagged with popular topics, for these it's ranked: deep-learning (#8,179/8389), tensorflow (#2,217/2241), reinforcement-learning (#1,269/1309), simulation (#975/1005), drone (#156/158)

All Topics

ddpg lstm drone airsim convlstm simulation tensorflow deep-learning spatio-temporal obstacle-avoidance reinforcement-learning

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

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The only known language in this repository is Python

updated: 2024-11-13 @ 01:09pm, id: 696073248 / R_kgDOKX08IA