Scipediacontent: Scipediacontent moved page Draft Content 440609960 to Chalkiadakis et al 2017a

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Scipediacontent moved page Draft Content 440609960 to Chalkiadakis et al 2017a

Scipediacontent: Created page with " == Abstract == Summarization: In this work we propose and investigate the use of collaborative reinforcement learning methods for resolving demand-capacity imbalances during..."

2021-01-28T23:41:01Z

Created page with " == Abstract == Summarization: In this work we propose and investigate the use of collaborative reinforcement learning methods for resolving demand-capacity imbalances during..."

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== Abstract ==

Summarization: In this work we propose and investigate the use of collaborative reinforcement learning methods for resolving demand-capacity imbalances during pre-tactical Air Traffic Management. By so doing, we also initiate the study of data-driven techniques for predicting multiple correlated aircraft trajectories; and, as such, respond to a need identified in contemporary research and practice in air-traffic management. Our simulations, designed based on real-world data, confirm the effectiveness of our methods in resolving the demand-capacity problem, even in extremely hard scenarios. Παρουσιάστηκε στο: 15th German Conference on Multiagent System Technologie

== Original document ==

The different versions of the original document can be found in:

* [http://link.springer.com/content/pdf/10.1007/978-3-319-64798-2_15 http://link.springer.com/content/pdf/10.1007/978-3-319-64798-2_15],
: [http://dx.doi.org/10.1007/978-3-319-64798-2_15 http://dx.doi.org/10.1007/978-3-319-64798-2_15] under the license http://www.springer.com/tdm

* [http://purl.tuc.gr/dl/dias/3F8984A1-1E9D-4EBC-BA1D-B282A8434E95 http://purl.tuc.gr/dl/dias/3F8984A1-1E9D-4EBC-BA1D-B282A8434E95],
: [https://link.springer.com/chapter/10.1007%2F978-3-319-64798-2_15 10.1007/978-3-319-64798-2_15 https://link.springer.com/chapter/10.1007%2F978-3-319-64798-2_15 10.1007/978-3-319-64798-2_15] under the license License: http://creativecommons.org/licenses/by/4.0/

* [https://link.springer.com/chapter/10.1007%2F978-3-319-64798-2_15 https://link.springer.com/chapter/10.1007%2F978-3-319-64798-2_15],
: [https://dblp.uni-trier.de/db/conf/mates/mates2017.html#KravarisVSBCG17 https://dblp.uni-trier.de/db/conf/mates/mates2017.html#KravarisVSBCG17],
: [https://rd.springer.com/chapter/10.1007/978-3-319-64798-2_15 https://rd.springer.com/chapter/10.1007/978-3-319-64798-2_15],
: [https://academic.microsoft.com/#/detail/2738491172 https://academic.microsoft.com/#/detail/2738491172]

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Chalkiadakis et al 2017a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 440609960 to Chalkiadakis et al 2017a

Scipediacontent: Created page with " == Abstract == Summarization: In this work we propose and investigate the use of collaborative reinforcement learning methods for resolving demand-capacity imbalances during..."