In this paper we introduce “clipping,” a new method of syntactic approximation which is motivated by and works in conjunction with a sound and decidable denotational model for...
Approximate Linear Programming (ALP) is a reinforcement learning technique with nice theoretical properties, but it often performs poorly in practice. We identify some reasons for...
Auctions are pervasive in today’s society and provide a variety of real markets. This article facilitates a strategic choice between a set of available trading strategies by int...
Michael Kaisers, Karl Tuyls, Frank Thuijsman, Simo...
Reverse engineering allows the geometric reconstruction of simple mechanical parts. However, the resulting models suffer from inaccuracies caused by errors in measurement and reco...
C. H. Gao, Frank C. Langbein, A. David Marshall, R...
In many structured prediction problems, the highest-scoring labeling is hard to compute exactly, leading to the use of approximate inference methods. However, when inference is us...