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» Modeling task allocation using a decision theoretic model
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SP
2002
IEEE
128views Security Privacy» more  SP 2002»
15 years 1 months ago
Fitting hidden Markov models to psychological data
Markov models have been used extensively in psychology of learning. Applications of hidden Markov models are rare however. This is partially due to the fact that comprehensive stat...
Ingmar Visser, Maartje E. J. Raijmakers, Peter C. ...
IPPS
2007
IEEE
15 years 8 months ago
A Flexible Resource Management Architecture for the Blue Gene/P Supercomputer
Blue Gene R /P is a massively parallel supercomputer intended as the successor to Blue Gene/L. It leverages much of the existing architecture of its predecessor to provide scalabi...
Sam Miller, Mark Megerian, Paul Allen, Tom Budnik
JAIR
2011
144views more  JAIR 2011»
14 years 9 months ago
Non-Deterministic Policies in Markovian Decision Processes
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
Mahdi Milani Fard, Joelle Pineau
EXPERT
2006
156views more  EXPERT 2006»
15 years 1 months ago
Computational Models of Ethical Reasoning: Challenges, Initial Steps, and Future Directions
on abstract principles that you can't easily apply in a formal, deductive fashion. So, the favorite tools of logicians and mathematicians, such as firstorder logic, aren'...
Bruce M. McLaren
IJRR
2011
218views more  IJRR 2011»
14 years 9 months ago
Motion planning under uncertainty for robotic tasks with long time horizons
Abstract Partially observable Markov decision processes (POMDPs) are a principled mathematical framework for planning under uncertainty, a crucial capability for reliable operation...
Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Le...