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CDC
2009
IEEE
211views Control Systems» more  CDC 2009»
15 years 2 months 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
15 years 4 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»
14 years 9 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
14 years 11 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
14 years 11 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