Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Giorgia Ramponi"'
Publikováno v:
2022 IEEE 61st Conference on Decision and Control (CDC).
Autor:
Giorgia Ramponi
Publikováno v:
Special Topics in Information Technology ISBN: 9783031153730
Reinforcement Learning (RL) has emerged as a powerful tool to solve sequential decision-making problems, where a learning agent interacts with an unknown environment in order to maximize its rewards. Although most RL real-world applications involve m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aee204f39e63cb6984be1bb2e72fba5d
https://doi.org/10.1007/978-3-031-15374-7_8
https://doi.org/10.1007/978-3-031-15374-7_8
Publikováno v:
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing.
Autor:
Giorgia Ramponi, Marcello Restelli, Matteo Giuliani, Amarildo Likmeta, Andrea Tirinzoni, Alberto Maria Metelli
In real-world applications, inferring the intentions of expert agents (e.g., human operators) can be fundamental to understand how possibly conflicting objectives are managed, helping to interpret the demonstrated behavior. In this paper, we discuss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72f9093fee9ae58ed1288c4a4b481f6d
http://hdl.handle.net/11311/1169636
http://hdl.handle.net/11311/1169636
Nowadays social networks are becoming an essential ingredient of our life, the faster way to share ideas and to influence people. Interaction within social networks tends to take place within communities, sets of social accounts which share friendshi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80f021d35006d6f5aa91f6da580fe0d2
http://hdl.handle.net/11311/1126429
http://hdl.handle.net/11311/1126429
Publikováno v:
SAC
With the increase of digital interaction, social networks are becoming an essential ingredient of our life, by progressively becoming the dominant media, e.g. in influencing political choices. Interaction within social networks tends to take place wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df1b306b1a5a211253e249f3f70e8fe5
http://hdl.handle.net/11585/854371
http://hdl.handle.net/11585/854371
Publikováno v:
ASONAM
In this paper, we propose two approaches to the problem of finding similar users to a set of champions representing domains of interest on social media. The first approach is based on the content shared by the users, while the second one relies on th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a7cef4a1a0b8b31afd57654f6af410a
http://hdl.handle.net/11311/1118829
http://hdl.handle.net/11311/1118829
Publikováno v:
IEEE BigData
Social networks are huge continuous sources of information that can be used to analyze people’s behavior and thoughts. Our goal is to extract such information and predict political inclinations of users. In particular, this paper investigates the i
Publikováno v:
MobiCom
This demo presents our experiences in developing a joystick for videogames that uses RFID backscattering for battery-free operation. Specifically, we develop a system to gather data from a wireless and battery-less joystick, named JoyTag, while it in
Publikováno v:
Scopus-Elsevier
Online social media are changing the news industry and revolutionizing the traditional role of journalists and newspapers. In this scenario, investigating the behaviour of users in relationship to news sharing is relevant, as it provides means for un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93c0a81a50455e2c9c81d5773be546f1
http://www.scopus.com/inward/record.url?eid=2-s2.0-85070415708&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85070415708&partnerID=MN8TOARS