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GitHub / John-Venti / DDPG-AirSim-Drone-Obstacle-Avoidance
Using DDPG and ConvLSTM to control a drone to avoid obstacle in AirSim
Stars: 10
Forks: 0
Open Issues: 0
License: mit
Language: Python
Repo Size: 1.89 MB
Dependencies: pending
Created: 8 months ago
Updated: 3 months ago
Last pushed: 3 months ago
Last synced: 3 months ago
Commit Stats
Commits: 35
Authors: 1
Mean commits per author: 35.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/John-Venti/DDPG-AirSim-Drone-Obstacle-Avoidance
Topics: airsim, convlstm, ddpg, deep-learning, drone, lstm, obstacle-avoidance, reinforcement-learning, simulation, spatio-temporal, tensorflow