{"data":{"full_name":"AlessioLuciani/distributed-uav-rl-protocol","name":"distributed-uav-rl-protocol","description":"An implementation of a distributed protocol for cooperative sensing and sending operations of Unmanned Aerial Vehicles (UAVs). It is built on top of TensorFlow Agents and uses reinforcement learning techniques (e.g. Deep Q-Learning, Actor-Critic) to compute ideal trajectories.","stars":28.0,"forks":2.0,"language":"Jupyter Notebook","license":null,"archived":0.0,"subcategory":"aerial-robot-reinforcement-learning","last_pushed_at":"2021-03-19T10:32:17+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":0.0,"adoption_score":7.0,"maturity_score":8.0,"community_score":7.0,"quality_score":22.0,"quality_tier":"experimental","risk_flags":"['no_license', 'stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-08T00:24:01.312525+00:00"}}