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KSEM
2009
Springer
15 years 4 months ago
An Anytime Algorithm for Computing Inconsistency Measurement
Measuring the inconsistency degree of an inconsistent knowledge base is an important problem as it provides context information for facilitating inconsistency handling. Many method...
Yue Ma, Guilin Qi, Guohui Xiao, Pascal Hitzler, Zu...
FORMATS
2008
Springer
14 years 11 months ago
Timed Parity Games: Complexity and Robustness
We consider two-player games played in real time on game structures with clocks and parity objectives. The games are concurrent in that at each turn, both players independently pro...
Krishnendu Chatterjee, Thomas A. Henzinger, Vinaya...
ICML
1995
IEEE
15 years 10 months ago
Residual Algorithms: Reinforcement Learning with Function Approximation
A number of reinforcement learning algorithms have been developed that are guaranteed to converge to the optimal solution when used with lookup tables. It is shown, however, that ...
Leemon C. Baird III
CDC
2010
IEEE
102views Control Systems» more  CDC 2010»
14 years 4 months ago
Stock market trading via stochastic network optimization
We consider the problem of dynamic buying and selling of shares from a collection of N stocks with random price fluctuations. To limit investment risk, we place an upper bound on t...
Michael J. Neely
EMO
2005
Springer
68views Optimization» more  EMO 2005»
15 years 3 months ago
Multi-objective Optimization of Problems with Epistemic Uncertainty
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
Philipp Limbourg