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ATAL
2006
Springer
13 years 11 months ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
CAAN
2006
Springer
13 years 11 months ago
Optimal Gossiping with Unit Size Messages in Known Topology Radio Networks
Gossiping is a communication primitive where each node of a network possesses a unique message that is to be communicated to all other nodes in the network. We study the gossiping ...
Fredrik Manne, Qin Xin
FOCS
2004
IEEE
13 years 11 months ago
No Sorting? Better Searching!
Questions about order versus disorder in systems and models have been fascinating scientists over the years. In Computer Science, order is intimately related to sorting, commonly ...
Gianni Franceschini, Roberto Grossi
DCOSS
2006
Springer
13 years 11 months ago
Evaluating Local Contributions to Global Performance in Wireless Sensor and Actuator Networks
Wireless sensor networks are often studied with the goal of removing information from the network as efficiently as possible. However, when the application also includes an actuato...
Christopher J. Rozell, Don H. Johnson
ESA
2006
Springer
136views Algorithms» more  ESA 2006»
13 years 11 months ago
Approximation in Preemptive Stochastic Online Scheduling
Abstract. We present a first constant performance guarantee for preemptive stochastic scheduling to minimize the sum of weighted completion times. For scheduling jobs with release ...
Nicole Megow, Tjark Vredeveld