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» Learning to communicate in a decentralized environment
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UAI
2003
14 years 11 months ago
Decentralized Sensor Fusion with Distributed Particle Filters
This paper presents a scalable Bayesian technique for decentralized state estimation from multiple platforms in dynamic environments. As has long been recognized, centralized arch...
Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian...
ICML
2007
IEEE
15 years 10 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
IAT
2005
IEEE
15 years 3 months ago
Optimizing Agents Operation in Partially Inaccessible and Disruptive Environment
The algorithm we present in this paper aims to optimally distribute and connect the community of loosely coupled middle agents ensuring communication accessibility in a dynamic, i...
David Sislák, Martin Rehák, Michal P...
CORR
2008
Springer
126views Education» more  CORR 2008»
14 years 9 months ago
One shot schemes for decentralized quickest change detection
This work considers the problem of quickest detection with N distributed sensors that receive sequential observations either in discrete or in continuous time from the environment....
Olympia Hadjiliadis, Hongzhong Zhang, H. Vincent P...
EDUTAINMENT
2007
Springer
15 years 1 months ago
A 3D Virtual Learning Environment to Foster Communication for Long Term Ill Children
In this paper, we present a virtual learning environment which supports the learning process of long term sick children. By focusing on 3D Virtual Environments technology chronical...
Fabian Di Fiore, Pieter Jorissen, Gert Vansichem, ...