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ATAL
2010
Springer
13 years 8 months ago
PAC-MDP learning with knowledge-based admissible models
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
Marek Grzes, Daniel Kudenko
JAIR
2008
107views more  JAIR 2008»
13 years 7 months ago
Planning with Durative Actions in Stochastic Domains
Probabilistic planning problems are typically modeled as a Markov Decision Process (MDP). MDPs, while an otherwise expressive model, allow only for sequential, non-durative action...
Mausam, Daniel S. Weld
KBSE
1995
IEEE
13 years 11 months ago
A Transformation System for Interactive Reformulation of Design Optimization Strategies
Numerical design optimization algorithms are highly sensitive to the particular formulation of the optimization problems they are given. The formulation of the search space, the o...
Thomas Ellman, John Keane, Takahiro Murata, Mark S...
ICPADS
2007
IEEE
14 years 2 months ago
Optimization on distributed user management in Wireless Sensor Networks
In this paper, we address one of the Wireless Sensor Network (WSN) management problems – optimization on the execution of multiple commands. The objective of the paper is to pro...
MingJian Tang, Jinli Cao
ACMSE
2008
ACM
13 years 9 months ago
Optimization of the multiple retailer supply chain management problem
With stock surpluses and shortages representing one of the greatest elements of risk to wholesalers, a solution to the multiretailer supply chain management problem would result i...
Caio Soares, Gerry V. Dozier, Emmett Lodree, Jared...