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ATAL
2007
Springer
14 years 2 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
EEMMAS
2007
Springer
14 years 2 months ago
Engineering Systems Which Generate Emergent Functionalities
Complexity of near future and even nowadays applications is exponentially increasing. In order to tackle the design of such complex systems, being able to engineer self-organising ...
Marie Pierre Gleizes, Valérie Camps, Jean-P...
QSHINE
2005
IEEE
14 years 1 months ago
Utility-based Adaptive Resource Allocation in Hybrid Wireless Networks
Service availability in wireless networks is highly dependent on efficient resource allocation and guaranteed Quality of Service (QoS) amid overloads and failures. This paper add...
Calin Curescu, Simin Nadjm-Tehrani, Bing Cao, Tere...
JELIA
2004
Springer
14 years 1 months ago
Logic Programs with Functions and Default Values
In this work we reconsider the replacement of predicate-like notation by functional terms, using a similar syntax to Functional Logic Programming, but under a completely different...
Pedro Cabalar, David Lorenzo
PRL
2011
13 years 2 months ago
Consistency of functional learning methods based on derivatives
In some real world applications, such as spectrometry, functional models achieve better predictive performances if they work on the derivatives of order m of their inputs rather t...
Fabrice Rossi, Nathalie Villa-Vialaneix