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208
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GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
14 years 7 months ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
SEMWEB
2007
Springer
15 years 9 months ago
Privacy and Capability Management for the European eIDM Framework
The natural evolution of eGovernment is to go beyond the management of identities and therefore it is necessary to manage people, companies or organizations, and their capabilities...
Mario Reyes-Ayala, Ignacio Alamillo, Daniel Chavar...
115
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ICRA
2006
IEEE
112views Robotics» more  ICRA 2006»
15 years 9 months ago
Generic Differential Kinematic Modeling of Articulated Multi-monocycle Mobile Robots
— This paper presents a generic kinematic modeling approach for articulated multi-monocycle mobile robots. The formulation proposed to deduce the input/output velocity equations ...
Frederic Le Menn, Philippe Bidaud, Faïz Ben A...
143
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EDO
2006
Springer
15 years 7 months ago
Tailoring an architectural middleware platform to a heterogeneous embedded environment
Embedded systems are rapidly growing in size, complexity, distribution, and heterogeneity. As a result, the traditional practice of developing one-off embedded applications that a...
Sam Malek, Chiyoung Seo, Nenad Medvidovic
142
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ECOOPW
2007
Springer
15 years 7 months ago
Enabling Software Evolution Via AOP and Reflection
Following last three years' RAM-SE (Reflection, AOP and Meta-Data for Software Evolution) workshop at the ECOOP conference, the RAM-SE'07 workshop was a successful and po...
Manuel Oriol, Walter Cazzola, Shigeru Chiba, Gunte...