distributed-uav-rl-protocol

distributed-uav-rl-protocol

AlessioLuciani

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.

28 Stars
2 Forks
28 Watchers
Jupyter Notebook Language
100 SrcLog Score
Cost to Build
$7.6K
Market Value
$8.4K

Growth over time

9 data points  ·  2021-07-01 → 2026-04-01
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What is the AlessioLuciani/distributed-uav-rl-protocol GitHub project? 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.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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