activity
20162023
most citedMulti-criteria Analysis for Evaluation of Adaptive Radar Resource Management algorithms on a Naval setting with and without clutter

2 citations · 3 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI2023

Tracking mulitple targets with multiple radars using Distributed Auctions

Pierre Larrenie, Cédric Buron, Frédéric Barbaresco

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 resilie…

cs.MA2022★ 1 cited

Collaborative Multi-Radars Tracking by Distributed Auctions

Pierre Larrenie, Cédric Buron, Frédéric Barbaresco

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 alloca…

cs.AI2020

Multi-Radar Tracking Optimization for Collaborative Combat

Nouredine Nour, Reda Belhaj-Soullami, Cédric Buron +2

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 rewa…

eess.SP2020★ 2 cited

Multi-criteria Analysis for Evaluation of Adaptive Radar Resource Management algorithms on a Naval setting with and without clutter

Christophe Labreuche, Cédric Buron, Peter Moo +1

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…

cs.MA2019

MCTS-based Automated Negotiation Agent

Cédric Buron, Zahia Guessoum, Sylvain Ductor

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…

cs.AI2019

MCTS-based Automated Negotiation Agent (Extended Abstract)

Cédric Buron, Zahia Guessoum, Sylvain Ductor

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 Mon…

cs.AI2016

Curiosity-Aware Bargaining

Cédric Buron, Sylvain Ductor, Zahia Guessoum

Opponent modeling consists in modeling the strategy or preferences of an agent thanks to the data it provides. In the context of automated negotiation and with machine learning, it…