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ATAL
2005
Springer
15 years 11 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
167
Voted
AEI
2004
114views more  AEI 2004»
15 years 5 months ago
Physical concept ontology for the knowledge intensive engineering framework
Knowledge intensive engineering aims at flexible applications of a variety of product life cycle knowledge, such as design, manufacturing, operations, maintenance, and recycling. ...
Masaharu Yoshioka, Yasushi Umeda, Hideaki Takeda, ...
164
Voted
TROB
2002
149views more  TROB 2002»
15 years 5 months ago
LOST: localization-space trails for robot teams
Abstract-We describe Localization-Space Trails (LOST), a method that enables a team of robots to navigate between places of interest in an initially unknown environment using a tra...
Richard T. Vaughan, Kasper Støy, Gaurav S. ...
159
Voted
ESWA
2010
109views more  ESWA 2010»
15 years 3 months ago
Visual and tangible interactions with physical and virtual objects using context-aware RFID
Radio Frequency Identification (RFID) has recently received a lot of attention as an augmentation and interface technology with physical and virtual objects in the ubiquitous comp...
Jae Yeol Lee, Dong Woo Seo, Byung Youn Song, Rajit...
ESWA
2011
220views Database» more  ESWA 2011»
14 years 8 months ago
Unsupervised neural models for country and political risk analysis
This interdisciplinary research project focuses on relevant applications of Knowledge Discovery and Artificial Neural Networks in order to identify and analyse levels of country, b...
Álvaro Herrero, Emilio Corchado, Alfredo Ji...