Evolutionary dynamics of multi-agent learning: A survey
The interaction of multiple autonomous agents gives rise to highly dynamic and
nondeterministic environments, contributing to the complexity in applications such as …
nondeterministic environments, contributing to the complexity in applications such as …
Multiagent learning: Basics, challenges, and prospects
Multiagent systems (MAS) are widely accepted as an important method for solving problems
of a distributed nature. A key to the success of MAS is efficient and effective multiagent …
of a distributed nature. A key to the success of MAS is efficient and effective multiagent …
Independent reinforcement learners in cooperative markov games: a survey regarding coordination problems
In the framework of fully cooperative multi-agent systems, independent (non-communicative)
agents that learn by reinforcement must overcome several difficulties to manage to …
agents that learn by reinforcement must overcome several difficulties to manage to …
A human-centred approach based on functional near-infrared spectroscopy for adaptive decision-making in the air traffic control environment: A case study
Safety-critical systems like air traffic control (ATC) are usually less automated than might be
expected by the public, so human intelligence will remain at the core in the decision-making …
expected by the public, so human intelligence will remain at the core in the decision-making …
Social ski driver conditional autoregressive-based deep learning classifier for flight delay prediction
The importance of robust flight delay prediction has recently increased in the air
transportation industry. This industry seeks alternative methods and technologies for more …
transportation industry. This industry seeks alternative methods and technologies for more …
[LIBRO][B] Introduction to intelligent systems in traffic and transportation
ALC Bazzan, F Klügl - 2022 - books.google.com
Urban mobility is not only one of the pillars of modern economic systems, but also a key
issue in the quest for equality of opportunity, once it can improve access to other services …
issue in the quest for equality of opportunity, once it can improve access to other services …
Machine learning approach for flight departure delay prediction and analysis
E Esmaeilzadeh… - Transportation Research …, 2020 - journals.sagepub.com
The expected growth in air travel demand and the positive correlation with the economic
factors highlight the significant contribution of the aviation community to the US economy. On …
factors highlight the significant contribution of the aviation community to the US economy. On …
Review on artificial intelligence techniques for improving representative air traffic management capability
J Tang, G Liu, Q Pan - Journal of Systems Engineering and …, 2022 - ieeexplore.ieee.org
The use of artificial intelligence (AI) has increased since the middle of the 20th century, as
evidenced by its applications to a wide range of engineering and science problems. Air …
evidenced by its applications to a wide range of engineering and science problems. Air …
A multi-agent approach for reactionary delay prediction of flights
Flight schedules are highly sensitive to delays and witness these events on a very frequent
basis. In an interconnected and interdependent air transportation system, these delays can …
basis. In an interconnected and interdependent air transportation system, these delays can …
Explaining deep reinforcement learning decisions in complex multiagent settings: towards enabling automation in air traffic flow management
T Kravaris, K Lentzos, G Santipantakis, GA Vouros… - Applied …, 2023 - Springer
With the objective to enhance human performance and maximize engagement during the
performance of tasks, we aim to advance automation for decision making in complex and …
performance of tasks, we aim to advance automation for decision making in complex and …