Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Buron, Cédric"'
Coordination of radars can be performed in various ways. To be more resilient radar networks can be coordinated in a decentralized way. In this paper, we introduce a highly resilient algorithm for radar coordination based on decentralized and collabo
Externí odkaz:
http://arxiv.org/abs/2307.16477
Publikováno v:
SONDRA 2022, Jun 2022, Avignon, France
In this paper, we present an algorithm which lies in the domain of task allocation for a set of static autonomous radars with rotating antennas. It allows a set of radars to allocate in a fully decentralized way a set of active tracking tasks accordi
Externí odkaz:
http://arxiv.org/abs/2205.05334
Smart Grids of collaborative netted radars accelerate kill chains through more efficient cross-cueing over centralized command and control. In this paper, we propose two novel reward-based learning approaches to decentralized netted radar coordinatio
Externí odkaz:
http://arxiv.org/abs/2010.11733
Publikováno v:
2019 International Radar Conference (RADAR), Sep 2019, TOULON, France. pp.1 - 6
Multifunction radars (MFR) are met with complex capability requirements, involving various kinds of targets and saturating scenarios. In order to achieve these goals, radar systems use Active Electronically Scanned Array (AESA) to switch between thei
Externí odkaz:
http://arxiv.org/abs/2005.05604
Publikováno v:
In Surface & Coatings Technology 15 December 2023 474
Publikováno v:
The 22nd International Conference on Principles and Practice of Multi-Agent Systems (PRIMA2019), Oct 2019, Torino, Italy
This paper introduces a new negotiating agent model for automated negotiation. We focus on applications without time pressure with multidi-mensional negotiation on both continuous and discrete domains. The agent bidding strategy relies on Monte Carlo
Externí odkaz:
http://arxiv.org/abs/1909.09461
Publikováno v:
AAMAS 2019, May 2019, Montreal, Canada
This paper introduces a new Negotiating Agent for automated negotiation on continuous domains and without considering a specified deadline. The agent bidding strategy relies on Monte Carlo Tree Search, which is a trendy method since it has been used
Externí odkaz:
http://arxiv.org/abs/1903.12411
Autor:
Jurin, Florian E.1 (AUTHOR) cedric.buron@univ-fcomte.fr, Buron, Cédric C.1 (AUTHOR), Frau, Eleonora2 (AUTHOR), del Rossi, Stefan2 (AUTHOR), Schintke, Silvia2 (AUTHOR) florian.jurin@univ-fcomte.fr
Publikováno v:
Sensors (14248220). Jan2024, Vol. 24 Issue 2, p570. 18p.
Publikováno v:
Vingt-sixi{\`e}mes Journ{\'e}es Francophones sur les Syst{\`e}mes Multi-Agents, Oct 2018, M{\'e}tabief, France. 0011
Automated negotiation is a rising topic in Artificial Intelligence research. Monte Carlo methods have got increasing interest, in particular since they have been used with success on games with high branching factor such as go.In this paper, we descr
Externí odkaz:
http://arxiv.org/abs/1810.06918
Publikováno v:
In Journal of Molecular Liquids 15 March 2022 350