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» Using Learning in a Control Agent
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ICDIM
2010
IEEE
13 years 5 months ago
Detecting incompleteness in access control policies using data classification schemes
In a set of access control policies, incompleteness is the existence of situations for which no policy applies. Some of these situations can be exploited by attackers, to obtain un...
Riaz Ahmed Shaikh, Kamel Adi, Luigi Logrippo, Serg...
ISCA
2008
IEEE
137views Hardware» more  ISCA 2008»
14 years 2 months ago
Self-Optimizing Memory Controllers: A Reinforcement Learning Approach
Efficiently utilizing off-chip DRAM bandwidth is a critical issue in designing cost-effective, high-performance chip multiprocessors (CMPs). Conventional memory controllers deli...
Engin Ipek, Onur Mutlu, José F. Martí...
APNOMS
2007
Springer
14 years 2 months ago
Standby Power Control Architecture in Context-Aware Home Networks
Standby power is the energy consumed by appliances when they are not performing their main functions or when they are switched off. In this paper, we propose a Host-Agent based sta...
Joon Heo, Jihyuk Heo, Choong Seon Hong, Seok Bong ...
ATAL
2005
Springer
14 years 1 months ago
Approximating state estimation in multiagent settings using particle filters
State estimation consists of updating an agent’s belief given executed actions and observed evidence to date. In single agent environments, the state estimation can be formalize...
Prashant Doshi, Piotr J. Gmytrasiewicz
NIPS
1996
13 years 9 months ago
Reinforcement Learning for Mixed Open-loop and Closed-loop Control
Closed-loop control relies on sensory feedback that is usually assumed to be free. But if sensing incurs a cost, it may be coste ective to take sequences of actions in open-loop m...
Eric A. Hansen, Andrew G. Barto, Shlomo Zilberstei...