In this project, I applied 3D Notion Planning techniques to implement a drone agent capable of plan and execute missions in a complex urban environment.
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Updated
Oct 25, 2020 - Python
In this project, I applied 3D Notion Planning techniques to implement a drone agent capable of plan and execute missions in a complex urban environment.
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.
Python implementation of algorithm proposed in paper "Autonomous On-Demand Free Flight Operations in Urban Air Mobility using Monte Carlo Tree Search"
The open source air traffic simulator
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