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95
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ATAL
2010
Springer
14 years 10 months ago
Closing the learning-planning loop with predictive state representations
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
ICRA
2009
IEEE
147views Robotics» more  ICRA 2009»
15 years 4 months ago
Equipping robot control programs with first-order probabilistic reasoning capabilities
— An autonomous robot system that is to act in a real-world environment is faced with the problem of having to deal with a high degree of both complexity as well as uncertainty. ...
Dominik Jain, Lorenz Mösenlechner, Michael Be...
IIE
2008
98views more  IIE 2008»
14 years 9 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...
WMTE
2005
IEEE
15 years 3 months ago
Developing Interactive Logbook: A Personal Learning Environment
Many universities and further education colleges provide Virtual Learning Environments (VLEs). In recent years a new direction has been to extend these to support Personal Develop...
Tony Chan, Dan Corlett, Mike Sharples, Jeffrey Tin...
74
Voted
IJCAI
1993
14 years 11 months ago
A Scheme for Agent Collaboration in Open Multiagent Environments
In multiagent planning, an agent sometimes needs to collaborate with others to construct complex plans, or to accomplish large organizational tasks which it cannot do alone. Since...
Eiichi Osawa