Hierarchical multiagent reinforcement learning schemes for air traffic management
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DOI: 10.1007/s00521-021-05748-7
Abstract: In this work we investigate the use of hierarchical multiagent reinforcement learning methods for the computation of policies to resolve congestion problems in the air traffic management domain. To address cases where the demand of… read more here.
Keywords: reinforcement learning; reinforcement; air traffic; multiagent reinforcement ... See more keywords