GitHub topics: air-corridor
SECNetLabUNM/air-corridor
Enabling UAVs to navigate corridors efficiently, aiming to minimize travel time to their destinations.
Language: Python - Size: 25.7 MB - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1
SECNetLabUNM/HTransRL
Hybrid Transformer based Multi-agent Reinforcement Learning (HTransRL) is for drone coordination in air corridors, addressing the challenges of dynamic dimensions and types of state inputs, which cannot addressed by the traditional MARL.
Language: Python - Size: 97 MB - Last synced at: 9 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1