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» Learning all optimal policies with multiple criteria
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ICML
2003
IEEE
14 years 9 months ago
Q-Decomposition for Reinforcement Learning Agents
The paper explores a very simple agent design method called Q-decomposition, wherein a complex agent is built from simpler subagents. Each subagent has its own reward function and...
Stuart J. Russell, Andrew Zimdars
ATAL
2008
Springer
13 years 10 months ago
Norm emergence under constrained interactions in diverse societies
Effective norms, emerging from sustained individual interactions over time, can complement societal rules and significantly enhance performance of individual agents and agent soci...
Partha Mukherjee, Sandip Sen, Stéphane Airi...
PIMRC
2008
IEEE
14 years 2 months ago
A game theoretic framework for decentralized power allocation in IDMA systems
Abstract—In this contribution we present a decentralized power allocation algorithm for the uplink interleave division multiple access (IDMA) channel. Within the proposed optimal...
Samir Medina Perlaza, Laura Cottatellucci, M&eacut...
IRI
2008
IEEE
14 years 2 months ago
Robust integration of multiple information sources by view completion
There are many applications where multiple data sources, each with its own features, are integrated in order to perform an inference task in an optimal way. Researchers have shown...
Shankara B. Subramanya, Baoxin Li, Huan Liu
SDM
2009
SIAM
152views Data Mining» more  SDM 2009»
14 years 5 months ago
Multiple Kernel Clustering.
Maximum margin clustering (MMC) has recently attracted considerable interests in both the data mining and machine learning communities. It first projects data samples to a kernel...
Bin Zhao, James T. Kwok, Changshui Zhang