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ICCBR
2009
Springer
16 years 1 months ago
Improving Reinforcement Learning by Using Case Based Heuristics
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Reinforcement Learning algorithms, combining Case Based Reasoning (CBR) and ...
Reinaldo A. C. Bianchi, Raquel Ros, Ramon Ló...
KCAP
2009
ACM
16 years 1 months ago
Formally measuring agreement and disagreement in ontologies
Ontologies are conceptual models of particular domains, and domains can be modeled differently, representing different opinions, beliefs or perspectives. In other terms, ontolog...
Mathieu d'Aquin
IROS
2008
IEEE
144views Robotics» more  IROS 2008»
16 years 1 months ago
Learning nonparametric policies by imitation
— A long cherished goal in artificial intelligence has been the ability to endow a robot with the capacity to learn and generalize skills from watching a human teacher. Such an ...
David B. Grimes, Rajesh P. N. Rao
AINA
2007
IEEE
16 years 1 months ago
OWL-Based Context-Dependent Task Modeling and Deducing
In the near future, homes are envisioned to be equipped with numerous intelligent communicating devices. Such smart home needs to exhibit highly adaptive behavior to meet the inha...
Hongbo Ni, Xingshe Zhou, Zhiwen Yu, Kejian Miao
ICDCS
2007
IEEE
16 years 1 months ago
Iso-Map: Energy-Efficient Contour Mapping in Wireless Sensor Networks
Contour mapping is a crucial part of many wireless sensor network applications. Many efforts have been made to avoid collecting data from all the sensors in the network and produc...
Yunhao Liu, Mo Li
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