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ATAL
2006
Springer
15 years 5 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...
DAC
2007
ACM
16 years 2 months ago
SODA: Sensitivity Based Optimization of Disk Architecture
Storage plays a pivotal role in the performance of many applications. Optimizing disk architectures is a design-time as well as a run-time issue and requires balancing between per...
Yan Zhang, Sudhanva Gurumurthi, Mircea R. Stan
ICC
2011
IEEE
236views Communications» more  ICC 2011»
14 years 1 months ago
0 to 10k in 20 Seconds: Bootstrapping Large-Scale DHT Networks
—A handful of proposals address the problem of bootstrapping a large DHT network from scratch, but they all forgo the standard DHT join protocols in favor of their own distribute...
Jae Woo Lee, Henning Schulzrinne, Wolfgang Kellere...
ATAL
2007
Springer
15 years 7 months ago
A globally optimal algorithm for TTD-MDPs
In this paper, we discuss the use of Targeted Trajectory Distribution Markov Decision Processes (TTD-MDPs)—a variant of MDPs in which the goal is to realize a specified distrib...
Sooraj Bhat, David L. Roberts, Mark J. Nelson, Cha...
WWW
2005
ACM
16 years 2 months ago
Algorithmic detection of semantic similarity
Automatic extraction of semantic information from text and links in Web pages is key to improving the quality of search results. However, the assessment of automatic semantic meas...
Ana Gabriela Maguitman, Filippo Menczer, Heather R...