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NIPS
2008
15 years 8 months ago
Biasing Approximate Dynamic Programming with a Lower Discount Factor
Most algorithms for solving Markov decision processes rely on a discount factor, which ensures their convergence. It is generally assumed that using an artificially low discount f...
Marek Petrik, Bruno Scherrer
UAI
2008
15 years 8 months ago
Efficient Inference in Persistent Dynamic Bayesian Networks
Numerous temporal inference tasks such as fault monitoring and anomaly detection exhibit a persistence property: for example, if something breaks, it stays broken until an interve...
Tomás Singliar, Denver Dash
FLAIRS
2004
15 years 7 months ago
Dynamic Agent-Ordering and Nogood-Repairing in Distributed Constraint Satisfaction Problems
The distributed constraint satisfaction problem (CSP) is a general formalization used to represent problems in distributed multi-agent systems. To deal with realistic problems, mu...
Lingzhong Zhou, John Thornton, Abdul Sattar
USITS
2001
15 years 7 months ago
Dynamic Host Configuration for Managing Mobility Between Public and Private Networks
The usage and service options of a pubic network generally differ from a private (enterprise or home) network and consequently, the two networks are often configured differently. ...
Allen K. L. Miu, Paramvir Bahl
GECCO
2008
Springer
160views Optimization» more  GECCO 2008»
15 years 7 months 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