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» A General Framework for Large Scale Systems Development
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ATAL
2008
Springer
15 years 6 months ago
Efficient multi-agent reinforcement learning through automated supervision
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in large-scale systems. In this work, we develop a supervision fr...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
SIMUTOOLS
2008
15 years 6 months ago
An overview of the OMNeT++ simulation environment
The OMNeT++ discrete event simulation environment has been publicly available since 1997. It has been created with the simulation of communication networks, multiprocessors and ot...
András Varga, Rudolf Hornig
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 4 months ago
Fitness importance for online evolution
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
Philip Valencia, Raja Jurdak, Peter Lindsay
SIGIR
2008
ACM
15 years 4 months ago
Novelty and diversity in information retrieval evaluation
Evaluation measures act as objective functions to be optimized by information retrieval systems. Such objective functions must accurately reflect user requirements, particularly w...
Charles L. A. Clarke, Maheedhar Kolla, Gordon V. C...
SENSYS
2006
ACM
15 years 10 months ago
StarDust: a flexible architecture for passive localization in wireless sensor networks
The problem of localization in wireless sensor networks where nodes do not use ranging hardware, remains a challenging problem, when considering the required location accuracy, en...
Radu Stoleru, Pascal Vicaire, Tian He, John A. Sta...