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» Managing Complexity in Large Learning Robotic Systems
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ICARCV
2006
IEEE
100views Robotics» more  ICARCV 2006»
14 years 1 months ago
Decentralized Reinforcement Learning Control of a Robotic Manipulator
— Multi-agent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, etc. Learning approaches to multi-ag...
Lucian Busoniu, Bart De Schutter, Robert Babuska
GIS
2004
ACM
14 years 8 months ago
Object-relational management of complex geographical objects
Modern database applications including computer-aided design, multimedia information systems, medical imaging, molecular biology, or geographical information systems impose new re...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
IIE
2008
98views more  IIE 2008»
13 years 7 months ago
Data Mining Application in Higher Learning Institutions
One of the biggest challenges that higher learning institutions face today is to improve the quality of managerial decisions. The managerial decision making process becomes more co...
Naeimeh Delavari, Somnuk Phon-Amnuaisuk, M. Reza B...
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
13 years 6 months ago
Modeling and decision making in spatio-temporal processes for environmental surveillance
Abstract— The need for efficient monitoring of spatiotemporal dynamics in large environmental surveillance applications motivates the use of robotic sensors to achieve sufficie...
Amarjeet Singh 0003, Fabio Ramos, Hugh D. Whyte, W...
ROBOCUP
2004
Springer
114views Robotics» more  ROBOCUP 2004»
14 years 1 months ago
Modular Learning System and Scheduling for Behavior Acquisition in Multi-agent Environment
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...
Yasutake Takahashi, Kazuhiro Edazawa, Minoru Asada