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» Risk Sensitive Reinforcement Learning
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HICSS
2003
IEEE
116views Biometrics» more  HICSS 2003»
14 years 4 months ago
Modeling Instrumental Conditioning - The Behavioral Regulation Approach
Basically, instrumental conditioning is learning through consequences: Behavior that produces positive results (high “instrumental response”) is reinforced, and that which pro...
Jose J. Gonzalez, Agata Sawicka
SP
1999
IEEE
145views Security Privacy» more  SP 1999»
14 years 3 months ago
A User-Centered, Modular Authorization Service Built on an RBAC Foundation
Psychological acceptability has been mentioned as a requirement for secure systems for as long as least privilege and fail safe defaults, but until now has been all but ignored in...
Mary Ellen Zurko, Richard Simon, Tom Sanfilippo
FLAIRS
2004
14 years 4 days ago
Intelligent Control of Closed-Loop Sedation in Simulated ICU Patients
The intensive care unit is a challenging environment to both patient and caregiver. Continued shortages in staffing, principally in nursing, increase risk to patient and healthcar...
Brett L. Moore, Eric D. Sinzinger, Todd M. Quasny,...
IAT
2010
IEEE
13 years 8 months ago
Selecting Operator Queries Using Expected Myopic Gain
When its human operator cannot continuously supervise (much less teleoperate) an agent, the agent should be able to recognize its limitations and ask for help when it risks making...
Robert Cohn, Michael Maxim, Edmund H. Durfee, Sati...
FC
2010
Springer
173views Cryptology» more  FC 2010»
13 years 12 months ago
A Case Study on Measuring Statistical Data in the Tor Anonymity Network
The Tor network is one of the largest deployed anonymity networks, consisting of 1500+ volunteer-run relays and probably hundreds of thousands of clients connecting every day. Its ...
Karsten Loesing, Steven J. Murdoch, Roger Dingledi...