Decentralizing air traffic flow management with blockchain based reinforcement learning
We propose and implement a decentralized, intelligent air traffic flow management (ATFM) solution to improve the efficiency of air transportation in the ASEAN region as a whole. Our system, named BlockAgent, leverages the inherent synergy between multi-agent reinforcement learning (RL) for air traff...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2019
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/4647 https://ink.library.smu.edu.sg/context/sis_research/article/5650/viewcontent/truong_indin2019.pdf |
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| Institution: | Singapore Management University |
| Language: | English |