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CDC
2009
IEEE
211views Control Systems» more  CDC 2009»
14 years 3 days ago
An event-triggered distributed primal-dual algorithm for Network Utility maximization
Abstract— Many problems associated with networked systems can be formulated as network utility maximization (NUM) problems. NUM problems maximize a global separable measure of ne...
Pu Wan, Michael D. Lemmon
ATAL
2009
Springer
14 years 2 months ago
Integrating organizational control into multi-agent learning
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
JSAC
2008
143views more  JSAC 2008»
13 years 7 months ago
Distributed Kalman filtering based on consensus strategies
In this paper, we consider the problem of estimating the state of a dynamical system from distributed noisy measurements. Each agent constructs a local estimate based on its own m...
Ruggero Carli, Alessandro Chiuso, Luca Schenato, S...
AAAI
2008
13 years 9 months ago
Economic Hierarchical Q-Learning
Hierarchical state decompositions address the curse-ofdimensionality in Q-learning methods for reinforcement learning (RL) but can suffer from suboptimality. In addressing this, w...
Erik G. Schultink, Ruggiero Cavallo, David C. Park...
ACRI
2010
Springer
13 years 9 months ago
Network Decontamination with Temporal Immunity by Cellular Automata
Abstract. Network decontamination (or disinfection) is a widely studied problem in distributed computing. Network sites are assumed to be contaminated (e.g., by a virus) and a team...
Yassine Daadaa, Paola Flocchini, Nejib Zaguia