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 10 months ago)

Stargazers 32 (0 this week)

Watchers 2 (0 this week)

Forks 5

License mit

Ranking

RepositoryStats indexes 598,732 repositories, of these John-Wendell/DDPG-AirSim-Drone-Obstacle-Avoidance is ranked #562,577 (6th percentile) for total stargazers, and #487,120 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #111,600/120,199.

John-Wendell/DDPG-AirSim-Drone-Obstacle-Avoidance is also tagged with popular topics, for these it's ranked: deep-learning (#8,223/8543), tensorflow (#2,218/2258), reinforcement-learning (#1,276/1341), simulation (#984/1020), drone (#157/159)

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: 2024-12-18 @ 11:50pm, id: 696073248 / R_kgDOKX08IA