Scipediacontent: Scipediacontent moved page Draft Content 698604426 to Unknown et al 2018a

2021-02-01T21:33:03Z

Scipediacontent moved page Draft Content 698604426 to Unknown et al 2018a

Scipediacontent: Created page with " == Abstract == Summarization: In this article, we explore the computation of joint policies for autonomous agents to resolve congestions problems in the air traffic manageme..."

2021-02-01T21:32:59Z

Created page with " == Abstract == Summarization: In this article, we explore the computation of joint policies for autonomous agents to resolve congestions problems in the air traffic manageme..."

New page

== Abstract ==

Summarization: In this article, we explore the computation of joint policies for autonomous agents to resolve congestions problems in the air traffic management (ATM) domain. Agents, representing flights, have limited information about others’ payoffs and preferences, and need to coordinate to achieve their tasks while adhering to operational constraints. We formalize the problem as a multiagent Markov decision process (MDP) towards deciding flight delays to resolve demand and capacity balance (DCB) problems in ATM. To this end, we present multiagent reinforcement learning methods that allow agents to interact and form own policies in coordination with others. Experimental study on real-world cases, confirms the effectiveness of our approach in resolving the demand-capacity balance problem. Παρουσιάστηκε στο: 10th Hellenic Conference on Artificial Intelligence

== Original document ==

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

* [http://dx.doi.org/10.1145/3200947.3201010 http://dx.doi.org/10.1145/3200947.3201010] under the license http://www.acm.org/publications/policies/copyright_policy#Background

* [http://purl.tuc.gr/dl/dias/491D12EE-D6EB-4D31-B04E-6A25CE948AD5 http://purl.tuc.gr/dl/dias/491D12EE-D6EB-4D31-B04E-6A25CE948AD5] under the license License: http://creativecommons.org/licenses/by/4.0/

* [http://dl.acm.org/ft_gateway.cfm?id=3201010&ftid=1984630&dwn=1 http://dl.acm.org/ft_gateway.cfm?id=3201010&ftid=1984630&dwn=1],
: [http://dx.doi.org/10.1145/3200947.3201010 http://dx.doi.org/10.1145/3200947.3201010] under the license http://www.acm.org/publications/policies/copyright_policy#Background

* [https://dblp.uni-trier.de/db/conf/setn/setn2018.html#SpatharisKVBCGF18 https://dblp.uni-trier.de/db/conf/setn/setn2018.html#SpatharisKVBCGF18],
: [https://doi.acm.org/10.1145/3200947.3201010 https://doi.acm.org/10.1145/3200947.3201010],
: [https://academic.microsoft.com/#/detail/2815421352 https://academic.microsoft.com/#/detail/2815421352]

← Older revision	Revision as of 21:33, 1 February 2021
(No difference)

Unknown et al 2018a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 698604426 to Unknown et al 2018a

Scipediacontent: Created page with " == Abstract == Summarization: In this article, we explore the computation of joint policies for autonomous agents to resolve congestions problems in the air traffic manageme..."