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AAMAS
2007
Springer
13 years 7 months ago
Parallel Reinforcement Learning with Linear Function Approximation
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
Matthew Grounds, Daniel Kudenko
WWW
2009
ACM
14 years 8 months ago
Exploiting web search engines to search structured databases
Web search engines often federate many user queries to relevant structured databases. For example, a product related query might be federated to a product database containing thei...
Arnd Christian König, Dong Xin, Kaushik Chakr...
SIGSOFT
2006
ACM
14 years 1 months ago
Using task context to improve programmer productivity
When working on a large software system, a programmer typically spends an inordinate amount of time sifting through thousands of artifacts to find just the subset of information n...
Mik Kersten, Gail C. Murphy
CIKM
2005
Springer
14 years 1 months ago
Concept-based interactive query expansion
Despite the recent advances in search quality, the fast increase in the size of the Web collection has introduced new challenges for Web ranking algorithms. In fact, there are sti...
Bruno M. Fonseca, Paulo Braz Golgher, Bruno P&ocir...
CIKM
2009
Springer
13 years 8 months ago
Improving search engines using human computation games
Work on evaluating and improving the relevance of web search engines typically use human relevance judgments or clickthrough data. Both these methods look at the problem of learni...
Hao Ma, Raman Chandrasekar, Chris Quirk, Abhishek ...