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ATAL
2003
Springer
15 years 5 months ago
A selection-mutation model for q-learning in multi-agent systems
Although well understood in the single-agent framework, the use of traditional reinforcement learning (RL) algorithms in multi-agent systems (MAS) is not always justified. The fe...
Karl Tuyls, Katja Verbeeck, Tom Lenaerts
GECCO
2008
Springer
160views Optimization» more  GECCO 2008»
15 years 24 days ago
Self-managing agents for dynamic scheduling in manufacturing
The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using coo...
Ana Madureira, Filipe Santos, Ivo Pereira
IIWAS
2008
15 years 1 months ago
Double-agent architecture for collaborative supply chain formation
Supply chains have evolved to web-applications that tap on the power of internet to expand their networks online. Recently some research attention is focused on make-to-order supp...
Yang Hang, Simon Fong
DATE
2008
IEEE
136views Hardware» more  DATE 2008»
15 years 6 months ago
A Framework of Stochastic Power Management Using Hidden Markov Model
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
Ying Tan, Qinru Qiu
IPPS
1999
IEEE
15 years 4 months ago
Parallel Biological Sequence Comparison Using Prefix Computations
We present practical parallel algorithms using prefix computations for various problems that arise in pairwise comparison of biological sequences. We consider both constant and af...
Srinivas Aluru, Natsuhiko Futamura, Kishan Mehrotr...