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ICMLA
2010
13 years 5 months ago
Incremental Learning of Relational Action Rules
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
Christophe Rodrigues, Pierre Gérard, C&eacu...
CDC
2009
IEEE
115views Control Systems» more  CDC 2009»
14 years 13 days ago
An error bound for model reduction of Lur'e-type systems
— In general, existing model reduction techniques for stable nonlinear systems lack a guarantee on stability of the reduced-order model, as well as an error bound. In this paper,...
Bart Besselink, Nathan van de Wouw, Henk Nijmeijer
HICSS
2006
IEEE
114views Biometrics» more  HICSS 2006»
14 years 1 months ago
Game Theoretical Analysis of Cooperative Sourcing Scenarios
As an emerging trend in outsourcing, cooperative sourcing is the merging of similar processes of several firms when, for example, several banks merge their payments processing and...
Daniel Beimborn, Hermann-Josef Lamberti, Tim Weitz...
CORR
2008
Springer
187views Education» more  CORR 2008»
13 years 7 months ago
Coalitions in Cooperative Wireless Networks
Cooperation between rational users in wireless networks is studied using coalitional game theory. Using the rate achieved by a user as its utility, it is shown that the stable coal...
Suhas Mathur, Lalitha Sankar, Narayan B. Mandayam
ICCAD
2003
IEEE
142views Hardware» more  ICCAD 2003»
14 years 4 months ago
SuPREME: Substrate and Power-delivery Reluctance-Enhanced Macromodel Evaluation
The recent demand for system-on-chip RF mixed-signal design and aggressive supply-voltage reduction require chip-level accurate analysis of both the substrate and power delivery s...
Tsung-Hao Chen, Clement Luk, Charlie Chung-Ping Ch...