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ATAL
2008
Springer
13 years 11 months ago
Sigma point policy iteration
In reinforcement learning, least-squares temporal difference methods (e.g., LSTD and LSPI) are effective, data-efficient techniques for policy evaluation and control with linear v...
Michael H. Bowling, Alborz Geramifard, David Winga...
WSC
1998
13 years 11 months ago
Use of Simulation in Optimization of Maintenance Policies
Selecting an optimum maintenance policy independent of other parameters of the production system does not always yield the overall optimum operating conditions. For instance, high...
Farhad Azadivar, J. Victor Shu
CDC
2010
IEEE
139views Control Systems» more  CDC 2010»
13 years 4 months ago
Q-learning and enhanced policy iteration in discounted dynamic programming
We consider the classical finite-state discounted Markovian decision problem, and we introduce a new policy iteration-like algorithm for finding the optimal state costs or Q-facto...
Dimitri P. Bertsekas, Huizhen Yu
CCS
2009
ACM
14 years 10 months ago
Expressive policy analysis with enhanced system dynamicity
Despite several research studies, the effective analysis of policy based systems remains a significant challenge. Policy analysis should at least (i) be expressive (ii) take accou...
Robert Craven, Jorge Lobo, Jiefei Ma, Alessandra R...
CCS
2007
ACM
14 years 1 months ago
Efficient policy analysis for administrative role based access control
Administrative RBAC (ARBAC) policies specify how Role-Based Access Control (RBAC) policies may be changed by each administrator. It is often difficult to fully understand the effe...
Scott D. Stoller, Ping Yang, C. R. Ramakrishnan, M...