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AAAI
2006
15 years 17 days ago
Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping
Transfer learning concerns applying knowledge learned in one task (the source) to improve learning another related task (the target). In this paper, we use structure mapping, a ps...
Yaxin Liu, Peter Stone
ATAL
2005
Springer
15 years 4 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
CISIS
2009
IEEE
15 years 6 months ago
A Nonmonotonic Logical Approach for Modelling and Revising Metabolic Networks
—This paper describes a new logic-based approach for representing and reasoning about metabolic networks. First it shows how biological pathways can be elegantly represented in a...
Oliver Ray, Ken E. Whelan, Ross D. King
WWW
2007
ACM
15 years 12 months ago
Predicting clicks: estimating the click-through rate for new ads
Search engine advertising has become a significant element of the Web browsing experience. Choosing the right ads for the query and the order in which they are displayed greatly a...
Matthew Richardson, Ewa Dominowska, Robert Ragno
JFR
2008
103views more  JFR 2008»
14 years 11 months ago
Evolution and field performance of a rescue robot
Robots are slowly finding their way into the hands of search and rescue groups. One of the robots contributing to this effort is the Inuktun VGTV-Xtreme series by American Standar...
Mark Micire