We present a model-free reinforcement learning method for partially observable Markov decision problems. Our method estimates a likelihood gradient by sampling directly in paramet...
Validating distributed systems is particularly difficult, since failures may occur due to a correlated occurrence of faults in different parts of the system. This paper describes ...
Michel Cukier, Ramesh Chandra, David Henke, Jessic...
Design debug remains one of the major bottlenecks in the VLSI design cycle today. Existing automated solutions strive to aid engineers in reducing the debug effort by identifying ...
Yibin Chen, Sean Safarpour, Andreas G. Veneris, Jo...
We study the problem of aggregating partial rankings. This problem is motivated by applications such as meta-searching and information retrieval, search engine spam fighting, e-c...
Abstract. Partial-match queries return data items that contain a subset of the query keywords and order the results based on the statistical properties of the matched keywords. The...