Hierarchical multiagent reinforcement learning schemes for air traffic management

Christos Spatharis; Alevizos Bastas; Theocharis Kravaris; Konstantinos Blekas; George A. Vouros; José Manuel Cordero Ferrera

doi:10.1007/s00521-021-05748-7

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Hierarchical multiagent reinforcement learning schemes for air traffic management

Christos Spatharis Alevizos Bastas Theocharis Kravaris Konstantinos Blekas George A. Vouros José Manuel Cordero Ferrera

Year: 2021 Journal: Neural Computing and Applications Vol: 35 (1)Pages: 147-159 Publisher: Springer Science+Business Media

DOI: 10.1007/s00521-021-05748-7

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Keywords:

Reinforcement learning Computer science Air traffic control Task (project management) Air traffic management Artificial intelligence Operations research Distributed computing

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Topics

Air Traffic Management and Optimization

Physical Sciences → Engineering → Aerospace Engineering

Traffic control and management

Physical Sciences → Engineering → Control and Systems Engineering

Autonomous Vehicle Technology and Safety

Physical Sciences → Engineering → Automotive Engineering

Hierarchical multiagent reinforcement learning schemes for air traffic management

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